getdifferentialexpression
getdifferentialexpression performs differential expression analysis between two conditions using Fisher's exact test on genomic regions defined by an external file to identify region-specific expression changes.
Key Features:
- Differential Expression Using Fisher's Exact Test: Applies Fisher's exact test to compare expression counts between two conditions, appropriate for small sample sizes and discrete count data.
- Region-Specific Analysis: Accepts an external file specifying genomic regions (for example promoters or enhancers) to restrict analysis to defined loci.
- Next-Generation Sequencing Compatibility: Operates on count data generated from next-generation sequencing technologies.
- Reproducibility and Provenance Tracking: Records analysis details including data provenance, parameter settings, and workflow steps.
Scientific Applications:
- Disease Mechanism Studies: Identifying gene expression changes between conditions to investigate disease mechanisms.
- Treatment Response Analysis: Assessing expression changes associated with treatment responses.
- Developmental Biology: Comparing condition-dependent expression across developmental processes.
- Regulatory Element Discovery: Detecting region-specific regulatory elements, such as promoters and enhancers, that influence expression differences.
Methodology:
Applies Fisher's exact test to expression counts within genomic regions provided via an external file to assess statistical significance between two conditions.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Publications
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.