Analyze your RNA sequencing data without writing a single line of code

Reproducible bioinformatics pipelines in python. Import any Unix tool/command in python.

GREIN : GEO RNA-seq Experiments Interactive Navigator

SNP-free RNA editing Identification Toolkit

Single cell Nanopore sequencing data for Genotype and Phenotype

All-in-one analysis pipeline

Automatic Packaging and Distribution of Bioinformatics Pipelines

TransPi – a comprehensive TRanscriptome ANalysiS PIpeline for de novo transcriptome assembly

Automatic RNA-Seq Pipelines with Interactive Report

GEO RNA-seq Experiments Processing Pipeline

Clair3-RNA - a long-read small variant caller for RNA sequencing data

A quick recap of widely used differential analyses methods in R for RNA-seq experiments

🔬 A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data

A Snakemake pipeline to go from fastq mRNA sequencing files to raw and normalised counts (usable for downstream EDA and differential analysis)

Fast RNAseq pipeline

A convenient pipeline for processing of multi-strain bacterial RNA-Seq experiments

bioinfo workflow based on snakemake

Automated RNA-seq pipeline for lncRNA indentification

Quality Control, Mapping and Reads Count for RNA-Seq Analysis