RNA-Seq Data Analysis in Galaxy
Journal Title
In: Picardi, E. (ed) RNA Bioinformatics, Second Edition
Publication Type
Book section
Abstract
A complete RNA-Seq analysis involves the use of several different tools, with substantial software and computational requirements. The Galaxy platform simplifies the execution of such bioinformatics analyses by embedding the needed tools in its web interface, while also providing reproducibility. Here, we describe how to perform a reference-based RNA-Seq analysis using Galaxy, from data upload to visualization and functional enrichment analysis of differentially expressed genes.
Keywords
Animals; Computational Biology/methods; Data Analysis; Datasets as Topic/statistics & numerical data; Gene Expression Profiling/methods/statistics & numerical data; High-Throughput Nucleotide Sequencing/methods/statistics & numerical data; Humans; RNA-Seq/*methods; Reproducibility of Results; Sequence Analysis, RNA/methods/statistics & numerical data; *Software; Exome Sequencing/methods/statistics & numerical data; Differential gene expression; Functional enrichment; Galaxy; Quality control; Sequence mapping; Visualizations; Workflow
Department(s)
Office of Cancer Research
PubMed ID
33835453
Open Access at Publisher's Site
https://doi.org/10.1007/978-1-0716-1307-8_20
Terms of Use/Rights Notice
Refer to copyright notice on published article.


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