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title: "Genomics" | ||
image: genomics-card-narrow.png | ||
description: Learn | ||
description: Learn data management and analytical skills for genomic research | ||
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## Registration | ||
This course is free of charge, however we ask that you register for the Self-Study learning mode using the registration button below, so we have your details and we can provide you with additional information. | ||
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## Pre-requisites | ||
Knowledge: learners should have completed the Prenomics course or be able to successfully complete the self-assessment quiz. Learners are also expected to have some familiarity with biological concepts, including the concept of genomic variation within a population. Please note, you will need to complete the Creating your own instance course beforehand. | ||
Software: view the required software set-up. | ||
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## Programme | ||
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Topics: | ||
Session 1 - Project management for cloud genomics - | ||
Learn how to structure your data and metadata | ||
Plan for an NGS project | ||
Learn about the benefits of cloud computing | ||
Session 2 - Data preparation and organisation | ||
Learn how to structure your data and metadata | ||
Plan for an NGS project | ||
Learn about the benefits of cloud computing | ||
Session 3 - Assessing read quality; trimming and filtering reads | ||
Trimming and filtering, learn how to filter out poor quality data | ||
Assessing read quality | ||
Session 4 - Finding sequence variants | ||
Understand the steps involved in variant calling | ||
Describe the types of data formats encountered during variant calling | ||
Use command line tools to perform variant calling | ||
Instructors will give a demonstration on how to use the Integrative Genomics Viewer (IGV), an interactive tool for the visual exploration of genomic data. | ||
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| Monday 15 January 2024 | 10:00 - 13:00 | Session 1 - Project management for cloud genomics | | ||
| Wednesday 17 January 2024 | 10:00 - 13:00 | Session 2 - Data preparation and organisation | | ||
| Monday 15 January 2024 | 10:00 - 13:00 | Session 3 - Assessing read quality; trimming and filtering reads | | ||
| Wednesday 25 January 2024 | 11:00 - 14:00 | Session 4 - Finding sequence variants | | ||
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## Target audience | ||
- Learners who have completed the Prenomics Course | ||
- PhD Students & Researchers | ||
- This course would be appropriate for learners with experience using the command line, who are expecting to generate a dataset in the future or those who already have a dataset and would like guidance on how to analyse it. | ||
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## Learning outcomes | ||
Following completion of this course, learners will be able to | ||
- structure their data and metadata and plan for an NGS project | ||
- organise and document genomics data and bioinformatics workflows | ||
- understand what information is needed by a sequencing facility | ||
- gain practice navigating file systems, creating, copying, moving, and removing files and directories | ||
- use command-line tools to assess read quality and perform quality control | ||
- align reads to a reference genome, and identify and visualise sequence variants | ||
- work with Amazon AWS cloud computing and transfer data between a local computer and cloud resources |