getwigprofile
getwigprofile computes average profiles of genomic coordinates from WIG (Wiggle) files to quantify continuous-valued genomic signals for genome-scale analyses.
Key Features:
- Data Integration: Utilizes WIG (Wiggle) files to extract continuous-valued genomic signals for profile computation.
- Genome-wide profiling: Computes average signal profiles across large genomic regions to provide genome-wide coverage.
- Reproducibility tracking: Automatically records computational details to support reproducibility and transparency.
- Galaxy integration: Operates within the Galaxy project computational framework.
Scientific Applications:
- Next-generation sequencing analysis: Processes signals derived from next-generation DNA sequencing for averaged profile generation.
- Gene expression and epigenetics: Supports analysis of gene expression patterns and mapping of epigenetic modifications using continuous genomic signals.
- Large-scale biomedical analyses: Summarizes continuous genomic features across coordinates to enable genome-scale comparative and descriptive studies.
Methodology:
Processes WIG files to extract and compute average values at specified genomic coordinates. Leverages the Galaxy project computational framework.
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.