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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "QyLREeC3-olS"
+ },
+ "source": [
+ "***Instructions***\n",
+ "\n",
+ "1.) Click on File on the top left corner and select save a copy in drive\n",
+ "\n",
+ "Your changes will not be saved if you do not do this step\n",
+ "\n",
+ "2.) Click on the name of the workbook in the top left corner and replace \"Copy of\" with your full name"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "TgxsE89XWsGO"
+ },
+ "source": [
+ "# **Quality Control**\n",
+ "\n",
+ "---\n",
+ "\n",
+ "\n",
+ "Quality control (QC) in the context of genomics and bioinformatics refers to the process of assessing and ensuring the quality of raw sequencing data before further analysis.\n",
+ "\n",
+ "Quality control steps are essential to identify and address issues or artifacts that can arise during the sequencing process. The goal is to ensure that the data used for downstream analysis is accurate, reliable, and suitable for the intended analysis.\n",
+ "\n",
+ "\n",
+ "**Why Quality Control**\n",
+ "\n",
+ "1. ***Accurate Results***: helps us to identify and get rid of low quality data.\n",
+ "2. ***Data Integrity***: prevent technical artifacts, such as sequencing errors, PCR duplicates, and adapter contamination, from affecting the integrity of the data.\n",
+ "\n",
+ "1. ***Cost and time saving***: Detecting and addressing issues early in the process prevents wasting time and computational resources on flawed data.\n",
+ "2. ***Sequence contaminations***: High-quality data enhances the reproducibility of research, allowing other researchers to replicate findings based on the same dataset.\n",
+ "\n",
+ "1. ***Confidence in Interpretation***: High-quality data boosts confidence in the interpretation of results, enabling researchers to make confident conclusions based on reliable evidence.\n",
+ "\n",
+ "\n",
+ "\n",
+ "There are different types of quality control tools but the most commonly used for illumina data is **[fastqc](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/)** which generates html report for each sample. Results of multiple samples are further summerised using **[multiqc](https://multiqc.info/)**.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "lyQa2VkxtvyF"
+ },
+ "source": [
+ "#Practical excercise"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "We will be using our personal google drive accounts for these excercises. so so will start up by mounting our google drive acount into colab."
+ ],
+ "metadata": {
+ "id": "O0FEOIm1Tl5g"
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "HjQP_ER1Hxd_",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "3eb8c97d-0d7a-4298-ead6-c8d05a097e0a"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
+ ]
+ }
+ ],
+ "source": [
+ "#mount your google drive in colab\n",
+ "from google.colab import drive\n",
+ "drive.mount('/content/drive')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "The above command will prompt you to give it access to your google drive."
+ ],
+ "metadata": {
+ "id": "_6nLCkqpMlzC"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "2) We will then download our input folder and create a copy of the folder in our google drive.\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "iDArBHmIT42_"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#install gdown\n",
+ "!pip install gdown\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "JfhPzGH-YJDZ",
+ "outputId": "763845fe-d783-4ca0-a387-1a4e7f49f2ec"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Requirement already satisfied: gdown in /usr/local/lib/python3.10/dist-packages (4.6.6)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from gdown) (3.12.2)\n",
+ "Requirement already satisfied: requests[socks] in /usr/local/lib/python3.10/dist-packages (from gdown) (2.31.0)\n",
+ "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from gdown) (1.16.0)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from gdown) (4.66.1)\n",
+ "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from gdown) (4.11.2)\n",
+ "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown) (2.5)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (3.2.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (3.4)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (2.0.4)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (2023.7.22)\n",
+ "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (1.7.1)\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#download our work folder for this excercise\n",
+ "import gdown\n",
+ "gdown.download_folder(\"https://drive.google.com/drive/folders/1BrTb2bAOFu_fXY0LI3UHM0k_U01bv8r6?usp=sharing\", quiet=True)"
+ ],
+ "metadata": {
+ "id": "P96dYImVJzY1",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "6f1ab869-8954-4440-e41b-073f942ceddb"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Access denied with the following error:\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "\n",
+ " \tCannot retrieve the public link of the file. You may need to change\n",
+ "\tthe permission to 'Anyone with the link', or have had many accesses. \n",
+ "\n",
+ "You may still be able to access the file from the browser:\n",
+ "\n",
+ "\t https://drive.google.com/uc?id=1AOR9hbo1b7wPh28pyQWUxH2-lGgYoE6Q \n",
+ "\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#copy file to onedrive\n",
+ "%cp -r /content/NigeriaBioinformaticsTraining /content/drive/MyDrive/\n"
+ ],
+ "metadata": {
+ "id": "qFpanfVH9CxY"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "Lq3qeiuPH1b4"
+ },
+ "outputs": [],
+ "source": [
+ "#set path to excercise folder\n",
+ "data_path = '/content/drive/MyDrive/NigeriaBioinformaticsTraining'\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "792u0D5nImR-"
+ },
+ "source": [
+ "**Introduction To Basic Linux commands**\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "0zAZb-VEIeiP",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "28611f2e-6f52-4c3e-b99e-f4bf30c7da5a"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content\n"
+ ]
+ }
+ ],
+ "source": [
+ "#See current directory\n",
+ "!pwd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "uafb87dXLqWr",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "1623f233-15f3-4324-8c26-cfc6e17b274f"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/drive/MyDrive/NigeriaBioinformaticsTraining\n"
+ ]
+ }
+ ],
+ "source": [
+ "#change directory\n",
+ "%cd $data_path"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#confirm that your directory is changed\n",
+ "!pwd"
+ ],
+ "metadata": {
+ "id": "Yh5wD8kXRyCA",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "fff2cfd9-dd9c-44e9-c6b9-454316377bda"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/drive/MyDrive/NigeriaBioinformaticsTraining\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "3ylCdWY9IySR",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "a2fa2a83-0cb9-478c-f732-abede1888804"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Fastq newRef\n"
+ ]
+ }
+ ],
+ "source": [
+ "#See list of files in our excercise folder\n",
+ "!ls\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#see list of files in fastq folder\n",
+ "!ls Fastq"
+ ],
+ "metadata": {
+ "id": "3sWWqpj-SXz6",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "4da2949d-dd97-4b50-b874-d3e7dedb12c7"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "MC-023_S318_L001_R1_001.fastq.gz MC-095_S295_L001_R2_001.fastq.gz\n",
+ "MC-023_S318_L001_R2_001.fastq.gz MC-096_S315_L001_R1_001.fastq.gz\n",
+ "MC-032_S303_L001_R1_001.fastq.gz MC-096_S315_L001_R2_001.fastq.gz\n",
+ "MC-032_S303_L001_R2_001.fastq.gz PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "MC-095_S295_L001_R1_001.fastq.gz PE-NVN-541_S144_L001_R2_001.fastq.gz\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#see the first 10 lines of your fastq file\n",
+ "!zcat Fastq/MC-023_S318_L001_R1_001.fastq.gz|head -n 10"
+ ],
+ "metadata": {
+ "id": "23RAOeLINkG-",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "080b6aad-7e76-4ca4-c5ad-80a763498d42"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "@M05061:119:000000000-KLYPH:1:1101:17282:1001 1:N:0:318\n",
+ "NAATGTTTGAAATGATAAATGAATGGCAGCTTGGC\n",
+ "+\n",
+ "#8CCCGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG\n",
+ "@M05061:119:000000000-KLYPH:1:1101:17734:1002 1:N:0:318\n",
+ "NATGTAATTTTTGTTGTGTATTTATTACAACTTTGCCGGAAGCACCTTCATTTATCATTTCAAACAT\n",
+ "+\n",
+ "#8ABCGGFGGFDGGCFEECFFAFGFGGGGGGC9E9EGE@GGCGAFGG@FGG9FGCCCGGCGGGCFGG\n",
+ "@M05061:119:000000000-KLYPH:1:1101:12529:1004 1:N:0:318\n",
+ "NCGTTAATAATAAATACACGCAGGTAACTATAGTTTTGTAACATCCGGCCCTCCGTTAATAATAAATACACGCAGGTTACAAAACTATAGTTTTGTAACATCCGGGTAACTATAGTTTTGTAACATCCGGGTAACTATAGTTTTGTAAAATCCGAGATCGGAAAAGCACACGTCTGAAAACCAATCACAAAATCGTATCTCGTATGCCATCATCTGCCTGAAAAAAAAAAAAACAACAAACAAAAAAAAC\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "rmr_5ZAWHUTp"
+ },
+ "source": [
+ "**Structure of Fastq File**\n",
+ "\n",
+ 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)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**About Our data**\n",
+ "\n",
+ "For today's session, we will be working on 5 paired end Plasmodium Falciparum samples which are generated from illumina sequencing."
+ ],
+ "metadata": {
+ "id": "e4prBGoCSokk"
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "P8dacCeY2ULc",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "582502f8-c933-41c8-9a45-96e3c4f5f516"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "--2023-09-20 11:12:43-- https://www.bioinformatics.babraham.ac.uk/projects/fastqc/fastqc_v0.11.9.zip\n",
+ "Resolving www.bioinformatics.babraham.ac.uk (www.bioinformatics.babraham.ac.uk)... 149.155.133.4\n",
+ "Connecting to www.bioinformatics.babraham.ac.uk (www.bioinformatics.babraham.ac.uk)|149.155.133.4|:443... connected.\n",
+ "HTTP request sent, awaiting response... 200 OK\n",
+ "Length: 10249221 (9.8M) [application/zip]\n",
+ "Saving to: ‘fastqc_v0.11.9.zip’\n",
+ "\n",
+ "fastqc_v0.11.9.zip 100%[===================>] 9.77M 9.53MB/s in 1.0s \n",
+ "\n",
+ "2023-09-20 11:12:44 (9.53 MB/s) - ‘fastqc_v0.11.9.zip’ saved [10249221/10249221]\n",
+ "\n",
+ "Archive: fastqc_v0.11.9.zip\n",
+ " inflating: FastQC/cisd-jhdf5.jar \n",
+ " creating: FastQC/Configuration/\n",
+ " inflating: FastQC/Configuration/adapter_list.txt \n",
+ " inflating: FastQC/Configuration/contaminant_list.txt \n",
+ " inflating: FastQC/Configuration/limits.txt \n",
+ " inflating: FastQC/fastqc \n",
+ " inflating: FastQC/fastqc_icon.ico \n",
+ " creating: FastQC/Help/\n",
+ " creating: FastQC/Help/1 Introduction/\n",
+ " creating: FastQC/Help/1 Introduction/.svn/\n",
+ " inflating: FastQC/Help/1 Introduction/.svn/entries \n",
+ " creating: FastQC/Help/1 Introduction/.svn/props/\n",
+ " creating: FastQC/Help/1 Introduction/.svn/text-base/\n",
+ " inflating: FastQC/Help/1 Introduction/.svn/text-base/1.1 What is FastQC.html.svn-base \n",
+ " creating: FastQC/Help/1 Introduction/.svn/tmp/\n",
+ " creating: FastQC/Help/1 Introduction/.svn/tmp/props/\n",
+ " inflating: FastQC/Help/1 Introduction/1.1 What is FastQC.html \n",
+ " creating: FastQC/Help/2 Basic Operations/\n",
+ " creating: FastQC/Help/2 Basic Operations/.svn/\n",
+ " inflating: FastQC/Help/2 Basic Operations/.svn/entries \n",
+ " creating: FastQC/Help/2 Basic Operations/.svn/props/\n",
+ " creating: FastQC/Help/2 Basic Operations/.svn/text-base/\n",
+ " inflating: FastQC/Help/2 Basic Operations/.svn/text-base/2.1 Opening a sequence file.html.svn-base \n",
+ " inflating: FastQC/Help/2 Basic Operations/.svn/text-base/2.2 Evaluating Results.html.svn-base \n",
+ " inflating: FastQC/Help/2 Basic Operations/.svn/text-base/2.3 Saving a Report.html.svn-base \n",
+ " creating: FastQC/Help/2 Basic Operations/.svn/tmp/\n",
+ " creating: FastQC/Help/2 Basic Operations/.svn/tmp/props/\n",
+ " inflating: FastQC/Help/2 Basic Operations/2.1 Opening a sequence file.html \n",
+ " inflating: FastQC/Help/2 Basic Operations/2.2 Evaluating Results.html \n",
+ " inflating: FastQC/Help/2 Basic Operations/2.3 Saving a Report.html \n",
+ " creating: FastQC/Help/3 Analysis Modules/\n",
+ " creating: FastQC/Help/3 Analysis Modules/.svn/\n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/entries \n",
+ " creating: FastQC/Help/3 Analysis Modules/.svn/prop-base/\n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/duplication_levels.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/prop-base/kmer_profiles.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/per_base_gc_content.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/per_base_n_content.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/per_base_quality.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/per_base_sequence_content.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/per_sequence_gc_content.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/per_sequence_quality.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/per_tile_quality.png.svn-base \n",
+ " extracting: FastQC/Help/3 Analysis Modules/.svn/prop-base/sequence_length_distribution.png.svn-base \n",
+ " creating: FastQC/Help/3 Analysis Modules/.svn/props/\n",
+ " creating: FastQC/Help/3 Analysis Modules/.svn/text-base/\n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/1 Basic Statistics.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/10 Adapter Content.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/11 Kmer Content.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/12 Per Tile Sequence Quality.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/2 Per Base Sequence Quality.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/3 Per Sequence Quality Scores.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/4 Per Base Sequence Content.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/5 Per Sequence GC Content.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/6 Per Base N Content.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/7 Sequence Length Distribution.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/8 Duplicate Sequences.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/9 Overrepresented Sequences.html.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/duplication_levels.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/kmer_profiles.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/per_base_gc_content.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/per_base_n_content.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/per_base_quality.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/per_base_sequence_content.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/per_sequence_gc_content.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/per_sequence_quality.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/per_tile_quality.png.svn-base \n",
+ " inflating: FastQC/Help/3 Analysis Modules/.svn/text-base/sequence_length_distribution.png.svn-base \n",
+ " creating: FastQC/Help/3 Analysis Modules/.svn/tmp/\n",
+ " creating: FastQC/Help/3 Analysis Modules/.svn/tmp/props/\n",
+ " inflating: FastQC/Help/3 Analysis Modules/1 Basic Statistics.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/10 Adapter Content.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/11 Kmer Content.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/12 Per Tile Sequence Quality.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/2 Per Base Sequence Quality.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/3 Per Sequence Quality Scores.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/4 Per Base Sequence Content.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/5 Per Sequence GC Content.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/6 Per Base N Content.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/7 Sequence Length Distribution.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/8 Duplicate Sequences.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/9 Overrepresented Sequences.html \n",
+ " inflating: FastQC/Help/3 Analysis Modules/duplication_levels.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/kmer_profiles.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/per_base_gc_content.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/per_base_n_content.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/per_base_quality.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/per_base_sequence_content.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/per_sequence_gc_content.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/per_sequence_quality.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/per_tile_quality.png \n",
+ " inflating: FastQC/Help/3 Analysis Modules/sequence_length_distribution.png \n",
+ " inflating: FastQC/INSTALL.txt \n",
+ " inflating: FastQC/jbzip2-0.9.jar \n",
+ " inflating: FastQC/LICENSE \n",
+ " inflating: FastQC/LICENSE.txt \n",
+ " inflating: FastQC/LICENSE_JHDF5.txt \n",
+ " creating: FastQC/net/\n",
+ " creating: FastQC/net/sourceforge/\n",
+ " creating: FastQC/net/sourceforge/iharder/\n",
+ " creating: FastQC/net/sourceforge/iharder/base64/\n",
+ " inflating: FastQC/net/sourceforge/iharder/base64/Base64$1.class \n",
+ " inflating: FastQC/net/sourceforge/iharder/base64/Base64$InputStream.class \n",
+ " inflating: FastQC/net/sourceforge/iharder/base64/Base64$OutputStream.class \n",
+ " inflating: FastQC/net/sourceforge/iharder/base64/Base64.class \n",
+ " creating: FastQC/org/\n",
+ " creating: FastQC/org/apache/\n",
+ " creating: FastQC/org/apache/commons/\n",
+ " creating: FastQC/org/apache/commons/math3/\n",
+ " creating: FastQC/org/apache/commons/math3/analysis/\n",
+ " creating: FastQC/org/apache/commons/math3/analysis/solvers/\n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/AbstractUnivariateSolver.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/AllowedSolution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/BaseAbstractUnivariateSolver.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/BaseUnivariateSolver.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/BracketedUnivariateSolver.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/BrentSolver.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/UnivariateSolver.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/solvers/UnivariateSolverUtils.class \n",
+ " inflating: FastQC/org/apache/commons/math3/analysis/UnivariateFunction.class \n",
+ " creating: FastQC/org/apache/commons/math3/distribution/\n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/AbstractIntegerDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/AbstractRealDistribution$1.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/AbstractRealDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/BetaDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/BinomialDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/CauchyDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/ChiSquaredDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/FDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/GammaDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/HypergeometricDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/IntegerDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/NormalDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/PascalDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/PoissonDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/RealDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/SaddlePointExpansion.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/TDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/WeibullDistribution.class \n",
+ " inflating: FastQC/org/apache/commons/math3/distribution/ZipfDistribution.class \n",
+ " creating: FastQC/org/apache/commons/math3/exception/\n",
+ " inflating: FastQC/org/apache/commons/math3/exception/ConvergenceException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/DimensionMismatchException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/MathArithmeticException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/MathIllegalArgumentException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/MathIllegalNumberException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/MathIllegalStateException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/MathInternalError.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/MaxCountExceededException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/NoBracketingException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/NotFiniteNumberException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/NotPositiveException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/NotStrictlyPositiveException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/NullArgumentException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/NumberIsTooLargeException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/NumberIsTooSmallException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/OutOfRangeException.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/TooManyEvaluationsException.class \n",
+ " creating: FastQC/org/apache/commons/math3/exception/util/\n",
+ " inflating: FastQC/org/apache/commons/math3/exception/util/ArgUtils.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/util/ExceptionContext.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/util/ExceptionContextProvider.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/util/Localizable.class \n",
+ " inflating: FastQC/org/apache/commons/math3/exception/util/LocalizedFormats.class \n",
+ " creating: FastQC/org/apache/commons/math3/random/\n",
+ " inflating: FastQC/org/apache/commons/math3/random/AbstractWell.class \n",
+ " inflating: FastQC/org/apache/commons/math3/random/BitsStreamGenerator.class \n",
+ " inflating: FastQC/org/apache/commons/math3/random/RandomData.class \n",
+ " inflating: FastQC/org/apache/commons/math3/random/RandomDataImpl.class \n",
+ " inflating: FastQC/org/apache/commons/math3/random/RandomGenerator.class \n",
+ " inflating: FastQC/org/apache/commons/math3/random/Well19937c.class \n",
+ " creating: FastQC/org/apache/commons/math3/special/\n",
+ " inflating: FastQC/org/apache/commons/math3/special/Beta$1.class \n",
+ " inflating: FastQC/org/apache/commons/math3/special/Beta.class \n",
+ " inflating: FastQC/org/apache/commons/math3/special/Erf.class \n",
+ " inflating: FastQC/org/apache/commons/math3/special/Gamma$1.class \n",
+ " inflating: FastQC/org/apache/commons/math3/special/Gamma.class \n",
+ " creating: FastQC/org/apache/commons/math3/util/\n",
+ " inflating: FastQC/org/apache/commons/math3/util/ArithmeticUtils.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/ContinuedFraction.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/DoubleArray.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/FastMath$ExpFracTable.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/FastMath$ExpIntTable.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/FastMath$lnMant.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/FastMath.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/FastMathCalc.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/FastMathLiteralArrays.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/Incrementor$1.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/Incrementor$MaxCountExceededCallback.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/Incrementor.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/MathUtils.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/Precision.class \n",
+ " inflating: FastQC/org/apache/commons/math3/util/ResizableDoubleArray.class \n",
+ " inflating: FastQC/README.md \n",
+ " inflating: FastQC/README.txt \n",
+ " inflating: FastQC/RELEASE_NOTES.txt \n",
+ " inflating: FastQC/run_fastqc.bat \n",
+ " inflating: FastQC/sam-1.103.jar \n",
+ " creating: FastQC/Templates/\n",
+ " inflating: FastQC/Templates/fastqc2fo.xsl \n",
+ " inflating: FastQC/Templates/header_template.html \n",
+ " creating: FastQC/Templates/Icons/\n",
+ " extracting: FastQC/Templates/Icons/error.png \n",
+ " extracting: FastQC/Templates/Icons/fastqc_icon.png \n",
+ " extracting: FastQC/Templates/Icons/tick.png \n",
+ " extracting: FastQC/Templates/Icons/warning.png \n",
+ " creating: FastQC/uk/\n",
+ " creating: FastQC/uk/ac/\n",
+ " creating: FastQC/uk/ac/babraham/\n",
+ " creating: FastQC/uk/ac/babraham/FastQC/\n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Analysis/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Analysis/AnalysisListener.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Analysis/AnalysisQueue.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Analysis/AnalysisRunner.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Analysis/OfflineRunner.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Dialogs/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Dialogs/AboutDialog$1.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Dialogs/AboutDialog.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Dialogs/FastQCTitlePanel$SmoothJLabel.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Dialogs/FastQCTitlePanel.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Dialogs/WelcomePanel.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FastQCApplication$1.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FastQCApplication.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FastQCConfig.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FastQCMenuBar.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/FileFilters/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FileFilters/BAMFileFilter.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FileFilters/CasavaFastQFileFilter.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FileFilters/FastQFileFilter.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FileFilters/GobyFileFilter.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FileFilters/MappedBAMFileFilter.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/FileFilters/SequenceFileFilter.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Graphs/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Graphs/BaseGroup.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Graphs/LineGraph.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Graphs/QualityBoxPlot.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Graphs/TileGraph.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Help/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Help/HelpDialog.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Help/HelpIndexRoot$FileSorter.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Help/HelpIndexRoot.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Help/HelpPage.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Help/HelpPageDisplay$HelpEditor.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Help/HelpPageDisplay.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Help/HelpSearchPanel.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Modules/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/AbstractQCModule.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/AdapterContent$Adapter.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/AdapterContent$ResultsTable.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/AdapterContent.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/BasicStats$ResultsTable.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/BasicStats.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/DuplicationLevel.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Modules/GCModel/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/GCModel/GCModel.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/GCModel/GCModelValue.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/KmerContent$Kmer.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/KmerContent$ResultsTable.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/KmerContent.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/ModuleConfig.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/ModuleFactory.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/NContent.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/OverRepresentedSeqs$OverrepresentedSeq.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/OverRepresentedSeqs$ResultsTable.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/OverRepresentedSeqs.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/PerBaseQualityScores.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/PerBaseSequenceContent.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/PerSequenceGCContent.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/PerSequenceQualityScores.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/PerTileQualityScores.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/QCModule.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Modules/SequenceLengthDistribution.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Report/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Report/HTMLReportArchive.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Report/stylesheet.txt \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Resources/\n",
+ " extracting: FastQC/uk/ac/babraham/FastQC/Resources/error.png \n",
+ " extracting: FastQC/uk/ac/babraham/FastQC/Resources/fastqc_icon.png \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Resources/fastqc_icon.svg \n",
+ " extracting: FastQC/uk/ac/babraham/FastQC/Resources/fastqc_icon_100.png \n",
+ " extracting: FastQC/uk/ac/babraham/FastQC/Resources/tick.png \n",
+ " extracting: FastQC/uk/ac/babraham/FastQC/Resources/warning.png \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Results/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Results/ResultsPanel$ModuleRenderer.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Results/ResultsPanel.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Sequence/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/BAMFile.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Sequence/Contaminant/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/Contaminant/Contaminant.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/Contaminant/ContaminantHit.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/Contaminant/ContaminentFinder.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/Fast5File.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/FastQFile.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Sequence/QualityEncoding/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/QualityEncoding/PhredEncoding.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/Sequence.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/SequenceFactory.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/SequenceFile.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/SequenceFileGroup.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Sequence/SequenceFormatException.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Statistics/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Statistics/NormalDistribution.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Statistics/PearsonCorrelation.class \n",
+ " creating: FastQC/uk/ac/babraham/FastQC/Utilities/\n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/CasavaBasename.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/HotColdColourGradient.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/ImageToBase64.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/MultiMemberGZIPInputStream.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/NameFormatException.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/NanoporeBasename.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/QualityCount.class \n",
+ " inflating: FastQC/uk/ac/babraham/FastQC/Utilities/RGB.class \n"
+ ]
+ }
+ ],
+ "source": [
+ "#Install fastqc\n",
+ "\n",
+ "!wget https://www.bioinformatics.babraham.ac.uk/projects/fastqc/fastqc_v0.11.9.zip #download\n",
+ "!unzip fastqc_v0.11.9.zip #unzip\n",
+ "!chmod +x FastQC/fastqc #make executable\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#Create directory\n",
+ "!mkdir fastqcOutput"
+ ],
+ "metadata": {
+ "id": "SjZ8iq0tSyTX"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "iDOK90aku91h",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "79b6b752-3749-4d40-935b-d12569a8b309"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Started analysis of MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 5% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 10% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 15% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 20% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 25% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 30% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 35% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 40% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 45% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 50% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 55% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 60% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 65% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 70% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 75% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 80% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 85% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 90% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Approx 95% complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Analysis complete for MC-023_S318_L001_R1_001.fastq.gz\n",
+ "Started analysis of MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 5% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 10% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
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+ "Approx 25% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 30% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 35% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 40% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 45% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 50% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 55% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
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+ "Approx 85% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 90% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Approx 95% complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Analysis complete for MC-023_S318_L001_R2_001.fastq.gz\n",
+ "Started analysis of MC-032_S303_L001_R1_001.fastq.gz\n",
+ "Approx 5% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
+ "Approx 10% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
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+ "Approx 25% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
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+ "Approx 35% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
+ "Approx 40% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
+ "Approx 45% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
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+ "Approx 90% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
+ "Approx 95% complete for MC-032_S303_L001_R1_001.fastq.gz\n",
+ "Analysis complete for MC-032_S303_L001_R1_001.fastq.gz\n",
+ "Started analysis of MC-032_S303_L001_R2_001.fastq.gz\n",
+ "Approx 5% complete for MC-032_S303_L001_R2_001.fastq.gz\n",
+ "Approx 10% complete for MC-032_S303_L001_R2_001.fastq.gz\n",
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+ "Approx 45% complete for MC-032_S303_L001_R2_001.fastq.gz\n",
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+ "Approx 95% complete for MC-032_S303_L001_R2_001.fastq.gz\n",
+ "Analysis complete for MC-032_S303_L001_R2_001.fastq.gz\n",
+ "Started analysis of MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 5% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 10% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
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+ "Approx 20% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 25% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 30% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 35% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 40% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 45% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 50% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 55% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 60% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 65% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
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+ "Approx 90% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Approx 95% complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Analysis complete for MC-095_S295_L001_R1_001.fastq.gz\n",
+ "Started analysis of MC-095_S295_L001_R2_001.fastq.gz\n",
+ "Approx 5% complete for MC-095_S295_L001_R2_001.fastq.gz\n",
+ "Approx 10% complete for MC-095_S295_L001_R2_001.fastq.gz\n",
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+ "Approx 25% complete for MC-095_S295_L001_R2_001.fastq.gz\n",
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+ "Approx 95% complete for MC-095_S295_L001_R2_001.fastq.gz\n",
+ "Analysis complete for MC-095_S295_L001_R2_001.fastq.gz\n",
+ "Started analysis of MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 5% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 10% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 15% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
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+ "Approx 25% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 30% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 35% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 40% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 45% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 50% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 55% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 60% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 65% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 70% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 75% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 80% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
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+ "Approx 90% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Approx 95% complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Analysis complete for MC-096_S315_L001_R1_001.fastq.gz\n",
+ "Started analysis of MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 5% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 10% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 15% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 20% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 25% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 30% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 35% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 40% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 45% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 50% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 55% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 60% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 65% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 70% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 75% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 80% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 85% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 90% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Approx 95% complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Analysis complete for MC-096_S315_L001_R2_001.fastq.gz\n",
+ "Started analysis of PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 5% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 10% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 15% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 20% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 25% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 30% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 35% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 40% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 45% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 50% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 55% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 60% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 65% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 70% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 75% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 80% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 85% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 90% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Approx 95% complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Analysis complete for PE-NVN-541_S144_L001_R1_001.fastq.gz\n",
+ "Started analysis of PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 5% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 10% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 15% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 20% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 25% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 30% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 35% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 40% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 45% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 50% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 55% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 60% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 65% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 70% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 75% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 80% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 85% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 90% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Approx 95% complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n",
+ "Analysis complete for PE-NVN-541_S144_L001_R2_001.fastq.gz\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Run fastqc on multiple fastq files\n",
+ "!FastQC/fastqc Fastq/* -o fastqcOutput"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "n_N2uH6NuPm5"
+ },
+ "source": [
+ "Lets review one of the fastqc html files!"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "3BQuCpjNuIlR"
+ },
+ "source": [
+ 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)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "F5SISRD7zvcd",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "5a58156a-5f63-4ae2-826f-23c61e18b848"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting multiqc\n",
+ " Downloading multiqc-1.15-py3-none-any.whl (1.3 MB)\n",
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.2/1.3 MB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m20.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: matplotlib>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from multiqc) (3.7.1)\n",
+ "Requirement already satisfied: networkx>=2.5.1 in /usr/local/lib/python3.10/dist-packages (from multiqc) (3.1)\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from multiqc) (1.23.5)\n",
+ "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from multiqc) (8.1.7)\n",
+ "Collecting coloredlogs (from multiqc)\n",
+ " Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/46.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: future>0.14.0 in /usr/local/lib/python3.10/dist-packages (from multiqc) (0.18.3)\n",
+ "Requirement already satisfied: jinja2>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from multiqc) (3.1.2)\n",
+ "Collecting lzstring (from multiqc)\n",
+ " Downloading lzstring-1.0.4.tar.gz (4.3 kB)\n",
+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: markdown in /usr/local/lib/python3.10/dist-packages (from multiqc) (3.4.4)\n",
+ "Requirement already satisfied: pyyaml>=4 in /usr/local/lib/python3.10/dist-packages (from multiqc) (6.0.1)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from multiqc) (2.31.0)\n",
+ "Requirement already satisfied: rich>=10 in /usr/local/lib/python3.10/dist-packages (from multiqc) (13.5.2)\n",
+ "Collecting rich-click (from multiqc)\n",
+ " Downloading rich_click-1.6.1-py3-none-any.whl (19 kB)\n",
+ "Collecting simplejson (from multiqc)\n",
+ " Downloading simplejson-3.19.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (137 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.9/137.9 kB\u001b[0m \u001b[31m15.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting spectra>=0.0.10 (from multiqc)\n",
+ " Downloading spectra-0.0.11.tar.gz (18 kB)\n",
+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2>=3.0.0->multiqc) (2.1.3)\n",
+ "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (1.1.0)\n",
+ "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (0.11.0)\n",
+ "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (4.42.1)\n",
+ "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (1.4.5)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (23.1)\n",
+ "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (9.4.0)\n",
+ "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (3.1.1)\n",
+ "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.1->multiqc) (2.8.2)\n",
+ "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10->multiqc) (3.0.0)\n",
+ "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10->multiqc) (2.16.1)\n",
+ "Collecting colormath>=3.0.0 (from spectra>=0.0.10->multiqc)\n",
+ " Downloading colormath-3.0.0.tar.gz (39 kB)\n",
+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Collecting humanfriendly>=9.1 (from coloredlogs->multiqc)\n",
+ " Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m9.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->multiqc) (3.2.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->multiqc) (3.4)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->multiqc) (2.0.4)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->multiqc) (2023.7.22)\n",
+ "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=10->multiqc) (0.1.2)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=2.1.1->multiqc) (1.16.0)\n",
+ "Building wheels for collected packages: spectra, lzstring, colormath\n",
+ " Building wheel for spectra (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for spectra: filename=spectra-0.0.11-py3-none-any.whl size=17466 sha256=fdd2f6fa2269b528645e11de87e8a89a44aae5b29219a7339c5d108a8d40f666\n",
+ " Stored in directory: /root/.cache/pip/wheels/bc/27/ec/cddaa9489a49ddcf702e1f4dc1791db28a3b0121e1ff254f97\n",
+ " Building wheel for lzstring (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for lzstring: filename=lzstring-1.0.4-py2.py3-none-any.whl size=4567 sha256=f8deb38accb8976ac7bd59ded001e79ba28a7a5d604232a77ab8d5cd945cfc07\n",
+ " Stored in directory: /root/.cache/pip/wheels/aa/25/dc/ef10d6c8d762029393d3ef1710c63a7d6714bf1db32d04f3ad\n",
+ " Building wheel for colormath (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for colormath: filename=colormath-3.0.0-py3-none-any.whl size=39405 sha256=aecaf90a7aaaa6699ca6d9d481cb48db38d6b526ef86916b67cba5f2c6a908cb\n",
+ " Stored in directory: /root/.cache/pip/wheels/ab/b3/4d/c0738759c25a1df01958068f162cf2a9dc3ab1da8b972cfcfc\n",
+ "Successfully built spectra lzstring colormath\n",
+ "Installing collected packages: simplejson, lzstring, humanfriendly, colormath, spectra, coloredlogs, rich-click, multiqc\n",
+ "Successfully installed coloredlogs-15.0.1 colormath-3.0.0 humanfriendly-10.0 lzstring-1.0.4 multiqc-1.15 rich-click-1.6.1 simplejson-3.19.1 spectra-0.0.11\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Install multiqc\n",
+ "!pip install multiqc\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "lUECtIZHwEcA"
+ },
+ "source": [
+ "When working with [multiple](https://multiqc.info/) samples, it is not practical to go through the qc result for each sample. We therefore use multiqc to get a summary of the results obtained from our quality control."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "oQFfbC4nvWjf",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "70485af5-1dd6-4fdc-d393-848ebd0076f8"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\n",
+ " \u001b[34m/\u001b[0m\u001b[32m/\u001b[0m\u001b[31m/\u001b[0m \u001b]8;id=201764;https://multiqc.info\u001b\\\u001b[1mMultiQC\u001b[0m\u001b]8;;\u001b\\ 🔍 \u001b[2m| v1.15\u001b[0m\n",
+ "\n",
+ "\u001b[34m| multiqc\u001b[0m | Search path : /content/drive/MyDrive/NigeriaBioinformaticsTraining/fastqcOutput\n",
+ "\u001b[2K\u001b[34m|\u001b[0m \u001b[34msearching\u001b[0m | \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[32m20/20\u001b[0m \n",
+ "\u001b[?25h\u001b[34m| fastqc\u001b[0m | Found 10 reports\n",
+ "\u001b[34m| multiqc\u001b[0m | Report : fastqcOutput/multiqcOutput/multiqc_report.html\n",
+ "\u001b[34m| multiqc\u001b[0m | Data : fastqcOutput/multiqcOutput/multiqc_data\n",
+ "\u001b[34m| multiqc\u001b[0m | MultiQC complete\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Run multiqc on fatqc results\n",
+ "!mkdir -p multiqcOutput\n",
+ "!multiqc /content/drive/MyDrive/NigeriaBioinformaticsTraining/fastqcOutput -o /content/drive/MyDrive/NigeriaBioinformaticsTraining/fastqcOutput/multiqcOutput"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "H0J3DZs-t3Pd"
+ },
+ "source": [
+ "**Lets go through the multiQC result.**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Question**\\\n",
+ "What do you think about the overall quality of the data?"
+ ],
+ "metadata": {
+ "id": "anB9wlijdWB6"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "\\\\"
+ ],
+ "metadata": {
+ "id": "LA-fOrvWdhXp"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "fFx86D6l_T-b"
+ },
+ "source": [
+ "# **Trimming**\n",
+ " ![Screenshot 2023-08-16 at 15.44.31.png](data:image/png;base64,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)\n",
+ "\n",
+ "\n",
+ "---\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "gbx73KNQuhFG"
+ },
+ "source": [
+ "# Importance of trimming\n",
+ "\n",
+ "---\n",
+ "\n",
+ "\n",
+ "\n",
+ "FASTQ files contain sequencing reads along with quality scores for each base in the read. Trimming FASTQ files is an important preprocessing step in the analysis of sequencing data, and it serves several purposes:\n",
+ "\n",
+ "***Quality Improvement:*** Sequencing reads often have regions of lower-quality bases toward the ends, which can affect downstream analyses. Trimming removes these low-quality bases, improving the overall quality of the reads.\n",
+ "\n",
+ "***Read Length Uniformity:*** Trimming helps to standardize the read length across all reads. This is important for aligning reads to a reference genome and other downstream analyses, as tools often expect reads of consistent lengths.\n",
+ "\n",
+ "***Adapter Removal:*** During library preparation, adapter sequences are added to the ends of DNA fragments. Trimming removes these adapters, which can otherwise interfere with downstream analyses or cause alignment artifacts.\n",
+ "\n",
+ "***Removal of Artifacts:*** Trimming can help remove artifacts such as PCR duplicates, homopolymer errors, and other sequencing artifacts that can impact the accuracy of downstream analyses.\n",
+ "\n",
+ "***Reducing Computational Load:*** By removing low-quality bases and unnecessary adapters, the size of the data is reduced, leading to faster processing and requiring less storage space.\n",
+ "\n",
+ "***Improved Mapping:*** Removing low-quality bases and adapters increases the likelihood of successful alignment of reads to a reference genome, leading to more accurate variant calling and other downstream analyses.\n",
+ "\n",
+ "***Enhanced Interpretation:*** Trimming improves the accuracy of interpreting results by reducing the noise introduced by low-quality bases and artifacts.\n",
+ "\n",
+ "***Mitigating Batch Effects:*** In multi-sample studies, trimming helps to standardize read quality and length across different samples, reducing batch effects and enhancing comparability.\n",
+ "\n",
+ "Trimming can be performed using various tools and software packages, such as **Trimmomatic**, **Cutadapt**, **Fastp**, **trim Galore**, **Skewer**, etc.\n",
+ "\n",
+ "The specific trimming steps and parameters used depend on the quality of the data, the library preparation method, the sequencing platform, and the downstream analysis goals.\n",
+ "\n",
+ "***Overall, trimming helps to ensure that the sequencing data used in downstream analyses are of high quality, accurate, and reliable, leading to more meaningful and reproducible results.***\n",
+ "\n",
+ "For this tutorial, We will be using [***Trimmomatic***](http://www.usadellab.org/cms/index.php?page=trimmomatic).\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "VBfPQ-R1pq-_"
+ },
+ "source": [
+ "#***Trimmomatic Trimming Process***\n",
+ "\n",
+ "---\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "8fKJP7PVgsDB"
+ },
+ "source": [
+ "**Trimmomatic (Paired Reads)**\n",
+ "\n",
+ 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)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "bmp2n3SMkVyS"
+ },
+ "source": [
+ "**Illuminaclip:-** is often used as a parameter in adapter trimming tools like Trimmomatic and Cutadapt. When specifying \"IlluminaClip,\" you typically provide the path to a file containing the adapter sequences and set parameters to control how the adapters are identified and removed.\n",
+ "\n",
+ "\n",
+ 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)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "IkVTEpl6kOmm"
+ },
+ "source": [
+ "**Slidingwindow:-** removes low quality ends of reads. It involves moving a fixed-size window (often a small number of bases) along the length of a read. At each position of the window, the average quality score of the bases within the window is calculated. A threshold quality score is set as a criterion. If the average quality score within the window falls below this threshold, it indicates a region of low-quality bases and therefore trimmed off.\n",
+ "\n",
+ "\n",
+ "\n",
+ 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)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "tYHsH14QrP1u",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "2d56b5b8-2f49-449b-8760-5e82c5855759"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Selecting previously unselected package libxtst6:amd64.\n",
+ "(Reading database ... 120895 files and directories currently installed.)\n",
+ "Preparing to unpack .../libxtst6_2%3a1.2.3-1build4_amd64.deb ...\n",
+ "Unpacking libxtst6:amd64 (2:1.2.3-1build4) ...\n",
+ "Selecting previously unselected package openjdk-8-jre-headless:amd64.\n",
+ "Preparing to unpack .../openjdk-8-jre-headless_8u382-ga-1~22.04.1_amd64.deb ...\n",
+ "Unpacking openjdk-8-jre-headless:amd64 (8u382-ga-1~22.04.1) ...\n",
+ "Setting up libxtst6:amd64 (2:1.2.3-1build4) ...\n",
+ "Setting up openjdk-8-jre-headless:amd64 (8u382-ga-1~22.04.1) ...\n",
+ "update-alternatives: using /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/orbd to provide /usr/bin/orbd (orbd) in auto mode\n",
+ "update-alternatives: using /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/servertool to provide /usr/bin/servertool (servertool) in auto mode\n",
+ "update-alternatives: using /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/tnameserv to provide /usr/bin/tnameserv (tnameserv) in auto mode\n",
+ "Processing triggers for libc-bin (2.35-0ubuntu3.1) ...\n",
+ "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
+ "\n",
+ "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
+ "\n",
+ "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
+ "\n",
+ "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
+ "\n",
+ "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
+ "\n",
+ "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
+ "\n",
+ "--2023-09-20 12:50:35-- http://www.usadellab.org/cms/uploads/supplementary/Trimmomatic/Trimmomatic-0.39.zip\n",
+ "Resolving www.usadellab.org (www.usadellab.org)... 46.23.67.235\n",
+ "Connecting to www.usadellab.org (www.usadellab.org)|46.23.67.235|:80... connected.\n",
+ "HTTP request sent, awaiting response... 200 OK\n",
+ "Length: 133596 (130K) [application/zip]\n",
+ "Saving to: ‘Trimmomatic-0.39.zip’\n",
+ "\n",
+ "Trimmomatic-0.39.zi 100%[===================>] 130.46K 461KB/s in 0.3s \n",
+ "\n",
+ "2023-09-20 12:50:36 (461 KB/s) - ‘Trimmomatic-0.39.zip’ saved [133596/133596]\n",
+ "\n",
+ "Archive: Trimmomatic-0.39.zip\n",
+ " creating: Trimmomatic-0.39/\n",
+ " inflating: Trimmomatic-0.39/LICENSE \n",
+ " inflating: Trimmomatic-0.39/trimmomatic-0.39.jar \n",
+ " creating: Trimmomatic-0.39/adapters/\n",
+ " inflating: Trimmomatic-0.39/adapters/NexteraPE-PE.fa \n",
+ " inflating: Trimmomatic-0.39/adapters/TruSeq2-PE.fa \n",
+ " inflating: Trimmomatic-0.39/adapters/TruSeq2-SE.fa \n",
+ " inflating: Trimmomatic-0.39/adapters/TruSeq3-PE-2.fa \n",
+ " inflating: Trimmomatic-0.39/adapters/TruSeq3-PE.fa \n",
+ " inflating: Trimmomatic-0.39/adapters/TruSeq3-SE.fa \n"
+ ]
+ }
+ ],
+ "source": [
+ "#Install trimmomatic\n",
+ "!apt-get install openjdk-8-jre-headless -qq # Install Java\n",
+ "!wget http://www.usadellab.org/cms/uploads/supplementary/Trimmomatic/Trimmomatic-0.39.zip # Download Trimmomatic\n",
+ "!unzip Trimmomatic-0.39.zip # Unzip the downloaded file\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "LvrrkbFKrWeh",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "2c7f89da-1055-433c-b393-9d76cfbce21c"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "adapters LICENSE trimmomatic-0.39.jar\n"
+ ]
+ }
+ ],
+ "source": [
+ "#show content of trimmomatic folder\n",
+ "!ls Trimmomatic-0.39"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "_ohXyq2gExgU",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "83727915-55eb-47bb-83bd-23fbe82748f3"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "openjdk version \"11.0.20.1\" 2023-08-24\n",
+ "OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)\n",
+ "OpenJDK 64-Bit Server VM (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04, mixed mode, sharing)\n"
+ ]
+ }
+ ],
+ "source": [
+ "#java is already installed in colab\n",
+ "!java -version"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "crTUqfNhFDrQ",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "7c3da39c-91c3-453b-baab-f011468ec19f"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/drive/MyDrive/NigeriaBioinformaticsTraining\n"
+ ]
+ }
+ ],
+ "source": [
+ "#show current path\n",
+ "!pwd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "vloO7K9lEgL6",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "8572f127-b73f-4fb2-b07c-c855353426ea"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Usage: \n",
+ " PE [-version] [-threads ] [-phred33|-phred64] [-trimlog ] [-summary ] [-quiet] [-validatePairs] [-basein | ] [-baseout | ] ...\n",
+ " or: \n",
+ " SE [-version] [-threads ] [-phred33|-phred64] [-trimlog ] [-summary ] [-quiet] ...\n",
+ " or: \n",
+ " -version\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Show usage command\n",
+ "!java -jar /content/drive/MyDrive/NigeriaBioinformaticsTraining/Trimmomatic-0.39/trimmomatic-0.39.jar -h"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "4cYNNbKqhm_a"
+ },
+ "source": [
+ "## **Processing Steps**\n",
+ "\n",
+ 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)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "2C7zbfJo-R_V"
+ },
+ "source": [
+ "We will use the executable **trimmomatic-0.39.jar** file.\n",
+ "\n",
+ "Some commonly used illumina Adapter sequences can be found in the **adapters** folder."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!mkdir trimmedPaired trimmedUnpaired"
+ ],
+ "metadata": {
+ "id": "oG_PxvCJ3lXV"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#Run trimmomatic command\n",
+ "\n",
+ "!java -jar Trimmomatic-0.39/trimmomatic-0.39.jar PE -phred33 \\\n",
+ "Fastq/MC-023_S318_L001_R1_001.fastq.gz Fastq/MC-023_S318_L001_R2_001.fastq.gz \\\n",
+ "trimmedPaired/MC-023_S318_L001_paired_R1_001.fastq.gz trimmedUnpaired/MC-023_S318_L001_unpaired_R1_001.fastq.gz \\\n",
+ "trimmedPaired/MC-023_S318_L001_paired_R2_001.fastq.gz trimmedUnpaired/MC-023_S318_L001_unpaired_R2_001.fastq.gz \\\n",
+ "ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n"
+ ],
+ "metadata": {
+ "id": "MN6H818OvFqJ",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "db8b71a4-b265-47b1-d612-17cf9f6fcfd2"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "TrimmomaticPE: Started with arguments:\n",
+ " -phred33 Fastq/MC-023_S318_L001_R1_001.fastq.gz Fastq/MC-023_S318_L001_R2_001.fastq.gz trimmedPaired/MC-023_S318_L001_paired_R1_001.fastq.gz trimmedUnpaired/MC-023_S318_L001_unpaired_R1_001.fastq.gz trimmedPaired/MC-023_S318_L001_paired_R2_001.fastq.gz trimmedUnpaired/MC-023_S318_L001_unpaired_R2_001.fastq.gz ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n",
+ "Multiple cores found: Using 2 threads\n",
+ "Using PrefixPair: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT' and 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'\n",
+ "ILLUMINACLIP: Using 1 prefix pairs, 0 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences\n",
+ "Input Read Pairs: 879972 Both Surviving: 768118 (87.29%) Forward Only Surviving: 88773 (10.09%) Reverse Only Surviving: 4320 (0.49%) Dropped: 18761 (2.13%)\n",
+ "TrimmomaticPE: Completed successfully\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "When using trimmed reads for alignment, you typically use the paired-end files that passed the trimming process. These are the files containing reads where both pairs have survived the quality filtering and trimming steps. In our case, these are stored in the folder called \"trimmedPaired\"."
+ ],
+ "metadata": {
+ "id": "fjvQFGXd5xsJ"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "\\"
+ ],
+ "metadata": {
+ "id": "m_RAtbLr6NTx"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Working with multiple files**\n",
+ "\n",
+ "\\\n",
+ "When working with multiple files, it is preferable to run these processes in ***parallel*** to maximize the speed of execution. However, running parallel programs can be memory-intensive, making it less suitable for personal computers with limited RAM.\n",
+ "\n",
+ "If your system has a small amount of available RAM, it is advisable to use a ***loop*** instead. Loops may be slower, but they are a more memory-efficient approach that can successfully accomplish the task.\n",
+ "\n",
+ "We will be using loops in our excercises for this training.\n",
+ "\n",
+ "\\\n",
+ "\n",
+ "***Understand the concept of loops***\n",
+ "\n",
+ "*What is a Loop?*\n",
+ "\n",
+ "A loop is a fundamental concept in programming. It's a way to repeat a set of instructions multiple times. Imagine if you had to write the same line of code over and over again - it would be time-consuming and prone to errors. A loop helps automate this process.\n",
+ "\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "HnnKWeiLk1KL"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "%cd /content/drive/MyDrive/NigeriaBioinformaticsTraining\n",
+ "!pwd"
+ ],
+ "metadata": {
+ "id": "auJyPlyRJ4_8",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "324a11ab-ba59-4268-d4a9-05312b9e8a4c"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/drive/MyDrive/NigeriaBioinformaticsTraining\n",
+ "/content/drive/MyDrive/NigeriaBioinformaticsTraining\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import os\n",
+ "import glob\n",
+ "\n",
+ "# Specify the pattern you want to match\n",
+ "pattern = '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/*' # This example matches all .R1_001.fastq.gz files\n",
+ "\n",
+ "# Get a list of files matching the pattern\n",
+ "file_list = glob.glob(pattern)\n",
+ "print(file_list)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "nGOWHdpAvaeJ",
+ "outputId": "565a912d-88e2-45de-a0cf-01e2dab643cc"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "['/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-023_S318_L001_R1_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-023_S318_L001_R2_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-032_S303_L001_R2_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-032_S303_L001_R1_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-095_S295_L001_R1_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-096_S315_L001_R1_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-095_S295_L001_R2_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/MC-096_S315_L001_R2_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/PE-NVN-541_S144_L001_R1_001.fastq.gz', '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/PE-NVN-541_S144_L001_R2_001.fastq.gz']\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import os\n",
+ "import glob\n",
+ "\n",
+ "# Specify the pattern you want to match\n",
+ "pattern = '/content/drive/MyDrive/NigeriaBioinformaticsTraining/Fastq/*R1_001.fastq.gz' # This example matches all .R1_001.fastq.gz files\n",
+ "\n",
+ "# Get a list of files matching the pattern\n",
+ "file_list = glob.glob(pattern)\n",
+ "\n",
+ "for infile in file_list:\n",
+ " base = os.path.basename(infile)\n",
+ " base = base.replace('_R1_001.fastq.gz', '')\n",
+ " print(base)\n",
+ " input_forward = f'Fastq/{base}_R1_001.fastq.gz'\n",
+ " input_reverse = f'Fastq/{base}_R2_001.fastq.gz'\n",
+ " output_forward_paired = f'trimmedPaired/{base}_paired_R1_001.fastq.gz'\n",
+ " output_forward_unpaired = f'trimmedUnpaired/{base}_unpaired_R1_001.fastq.gz'\n",
+ " output_reverse_paired = f'trimmedPaired/{base}_paired_R2_001.fastq.gz'\n",
+ " output_reverse_unpaired = f'trimmedUnpaired/{base}_unpaired_R2_001.fastq.gz'\n",
+ "\n",
+ " !java -jar Trimmomatic-0.39/trimmomatic-0.39.jar PE -phred33 \\\n",
+ " {input_forward} {input_reverse} \\\n",
+ " {output_forward_paired} {output_forward_unpaired} \\\n",
+ " {output_reverse_paired} {output_reverse_unpaired} \\\n",
+ " ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n"
+ ],
+ "metadata": {
+ "id": "UdEBCrTWsKhM",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "08f6b3e5-ede8-4418-8fc2-0b254df86378"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "MC-023_S318_L001\n",
+ "TrimmomaticPE: Started with arguments:\n",
+ " -phred33 Fastq/MC-023_S318_L001_R1_001.fastq.gz Fastq/MC-023_S318_L001_R2_001.fastq.gz trimmedPaired/MC-023_S318_L001_paired_R1_001.fastq.gz trimmedUnpaired/MC-023_S318_L001_unpaired_R1_001.fastq.gz trimmedPaired/MC-023_S318_L001_paired_R2_001.fastq.gz trimmedUnpaired/MC-023_S318_L001_unpaired_R2_001.fastq.gz ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n",
+ "Multiple cores found: Using 2 threads\n",
+ "Using PrefixPair: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT' and 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'\n",
+ "ILLUMINACLIP: Using 1 prefix pairs, 0 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences\n",
+ "Input Read Pairs: 879972 Both Surviving: 768118 (87.29%) Forward Only Surviving: 88773 (10.09%) Reverse Only Surviving: 4320 (0.49%) Dropped: 18761 (2.13%)\n",
+ "TrimmomaticPE: Completed successfully\n",
+ "MC-032_S303_L001\n",
+ "TrimmomaticPE: Started with arguments:\n",
+ " -phred33 Fastq/MC-032_S303_L001_R1_001.fastq.gz Fastq/MC-032_S303_L001_R2_001.fastq.gz trimmedPaired/MC-032_S303_L001_paired_R1_001.fastq.gz trimmedUnpaired/MC-032_S303_L001_unpaired_R1_001.fastq.gz trimmedPaired/MC-032_S303_L001_paired_R2_001.fastq.gz trimmedUnpaired/MC-032_S303_L001_unpaired_R2_001.fastq.gz ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n",
+ "Multiple cores found: Using 2 threads\n",
+ "Using PrefixPair: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT' and 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'\n",
+ "ILLUMINACLIP: Using 1 prefix pairs, 0 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences\n",
+ "Input Read Pairs: 221334 Both Surviving: 181604 (82.05%) Forward Only Surviving: 31044 (14.03%) Reverse Only Surviving: 1209 (0.55%) Dropped: 7477 (3.38%)\n",
+ "TrimmomaticPE: Completed successfully\n",
+ "MC-095_S295_L001\n",
+ "TrimmomaticPE: Started with arguments:\n",
+ " -phred33 Fastq/MC-095_S295_L001_R1_001.fastq.gz Fastq/MC-095_S295_L001_R2_001.fastq.gz trimmedPaired/MC-095_S295_L001_paired_R1_001.fastq.gz trimmedUnpaired/MC-095_S295_L001_unpaired_R1_001.fastq.gz trimmedPaired/MC-095_S295_L001_paired_R2_001.fastq.gz trimmedUnpaired/MC-095_S295_L001_unpaired_R2_001.fastq.gz ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n",
+ "Multiple cores found: Using 2 threads\n",
+ "Using PrefixPair: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT' and 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'\n",
+ "ILLUMINACLIP: Using 1 prefix pairs, 0 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences\n",
+ "Input Read Pairs: 287779 Both Surviving: 259099 (90.03%) Forward Only Surviving: 22150 (7.70%) Reverse Only Surviving: 1585 (0.55%) Dropped: 4945 (1.72%)\n",
+ "TrimmomaticPE: Completed successfully\n",
+ "MC-096_S315_L001\n",
+ "TrimmomaticPE: Started with arguments:\n",
+ " -phred33 Fastq/MC-096_S315_L001_R1_001.fastq.gz Fastq/MC-096_S315_L001_R2_001.fastq.gz trimmedPaired/MC-096_S315_L001_paired_R1_001.fastq.gz trimmedUnpaired/MC-096_S315_L001_unpaired_R1_001.fastq.gz trimmedPaired/MC-096_S315_L001_paired_R2_001.fastq.gz trimmedUnpaired/MC-096_S315_L001_unpaired_R2_001.fastq.gz ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n",
+ "Multiple cores found: Using 2 threads\n",
+ "Using PrefixPair: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT' and 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'\n",
+ "ILLUMINACLIP: Using 1 prefix pairs, 0 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences\n",
+ "Input Read Pairs: 422168 Both Surviving: 333674 (79.04%) Forward Only Surviving: 81756 (19.37%) Reverse Only Surviving: 1593 (0.38%) Dropped: 5145 (1.22%)\n",
+ "TrimmomaticPE: Completed successfully\n",
+ "PE-NVN-541_S144_L001\n",
+ "TrimmomaticPE: Started with arguments:\n",
+ " -phred33 Fastq/PE-NVN-541_S144_L001_R1_001.fastq.gz Fastq/PE-NVN-541_S144_L001_R2_001.fastq.gz trimmedPaired/PE-NVN-541_S144_L001_paired_R1_001.fastq.gz trimmedUnpaired/PE-NVN-541_S144_L001_unpaired_R1_001.fastq.gz trimmedPaired/PE-NVN-541_S144_L001_paired_R2_001.fastq.gz trimmedUnpaired/PE-NVN-541_S144_L001_unpaired_R2_001.fastq.gz ILLUMINACLIP:Trimmomatic-0.39/adapters/TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36\n",
+ "Multiple cores found: Using 2 threads\n",
+ "Using PrefixPair: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT' and 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'\n",
+ "ILLUMINACLIP: Using 1 prefix pairs, 0 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences\n",
+ "Input Read Pairs: 218549 Both Surviving: 195290 (89.36%) Forward Only Surviving: 20370 (9.32%) Reverse Only Surviving: 945 (0.43%) Dropped: 1944 (0.89%)\n",
+ "TrimmomaticPE: Completed successfully\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!ls trimmedPaired/\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "4jE5jNd1xseV",
+ "outputId": "a9d2d02d-0a43-4402-bffc-f274a643806d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "MC-023_S318_L001_paired_R1_001.fastq.gz\n",
+ "MC-023_S318_L001_paired_R2_001.fastq.gz\n",
+ "MC-032_S303_L001_paired_R1_001.fastq.gz\n",
+ "MC-032_S303_L001_paired_R2_001.fastq.gz\n",
+ "MC-095_S295_L001_paired_R1_001.fastq.gz\n",
+ "MC-095_S295_L001_paired_R2_001.fastq.gz\n",
+ "MC-096_S315_L001_paired_R1_001.fastq.gz\n",
+ "MC-096_S315_L001_paired_R2_001.fastq.gz\n",
+ "PE-NVN-541_S144_L001_paired_R1_001.fastq.gz\n",
+ "PE-NVN-541_S144_L001_paired_R2_001.fastq.gz\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "qxwIiAG3sKS_"
+ },
+ "source": [
+ "**Excercise:-** check quality of your the trimmed fastq files and apply multiqc on your fastqc results.\n",
+ "\n",
+ "How does you current result compare to the previous one obtained before trimming?"
+ ]
+ }
+ ],
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "display_name": "Python 3",
+ "name": "python3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file