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
Sequence composition calculation
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.