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

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.

Documentation

Links