RNA-Seq Data Analysis in Galaxy
- Author(s)
- Batut, B; van den Beek, M; Doyle, MA; Soranzo, N;
- 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
- Publisher's Version
- https://doi.org/10.1007/978-1-0716-1307-8_20
- 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.
Creation Date: 2025-05-30 08:01:37
Last Modified: 2025-05-30 08:02:20