e-learning

NGS data logistics

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Abstract

Licence: Creative Commons Attribution 4.0 International

Keywords: Introduction to Galaxy Analyses

Target audience: Students

Resource type: e-learning

Version: 37

Status: Active

Learning objectives:

  • Understand most common types of NGS-related datatypes
  • Learn about how Galaxy handles NGS data using Illumina data derived from patients infected with Plasmodium

Date modified: 2025-05-10

Date published: 2017-02-22

Authors: Anton Nekrutenko, Daniel Blankenberg, Dave Clements, Marius van den Beek

Contributors: Anton Nekrutenko, Armin Dadras, Björn Grüning, Bérénice Batut, Helena Rasche, John Davis, Mehmet Tekman, Niall Beard, Nicola Soranzo, Saskia Hiltemann, Teresa Müller, William Durand

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