e-learning

SRA Aligned Read Format to Speed Up SARS-CoV-2 data Analysis

Abstract

Traditionally, after a list of run accessions has been filtered on the NCBI website, the accessions are used to download and extract fastq using the SRA toolkit to enter into the next steps of the workflow. A newer compressed data type, generated from raw submitted data containing SARS-CoV-2 sequence, is also accessible to Galaxy users from SRA in the Cloud.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • How can I search SRA SARS-CoV-2 metadata from within Galaxy?
  • How can I import SRA aligned read files and extract the data in my format of choice?
  • How can I import vcf files into Galaxy that have been generated for these Runs?

Learning Objectives

  • Learn about SRA aligned read format and vcf files for Runs containing SARS-CoV-2 content
  • Understand how to search the metadata for these Runs to find your dataset of interest and then import that data in your preferred format

Licence: Creative Commons Attribution 4.0 International

Keywords: Using Galaxy and Managing your Data, covid19, ncbi

Target audience: Students

Resource type: e-learning

Version: 12

Status: Active

Prerequisites:

Rule Based Uploader

Learning objectives:

  • Learn about SRA aligned read format and vcf files for Runs containing SARS-CoV-2 content
  • Understand how to search the metadata for these Runs to find your dataset of interest and then import that data in your preferred format

Date modified: 2024-06-14

Date published: 2021-05-31

Authors: Adelaide Rhodes, Jon Trow

Contributors: Adelaide Rhodes, Jon Trow


Activity log