bedtools_coveragebed_counts

bedtools_coveragebed_counts counts the number of intervals in BAM or BED source files that overlap intervals in a BED target file to quantify feature co-occurrence and enable correlation analyses of genomic features.


Key Features:

  • Efficient overlap detection: Counts overlaps between genomic intervals to quantify co-occurrence between feature sets.
  • Support for multiple formats: Accepts BED and GFF annotation formats and BAM sequence alignments for source or target inputs.
  • Scalability for NGS data: Designed to process large datasets typical of next-generation sequencing workflows.
  • Integration with BEDTools and UNIX workflows: Operates within the BEDTools suite and can be combined with standard UNIX commands for downstream processing.

Scientific Applications:

  • Genomic feature correlation: Quantifies overlap-based correlations between feature sets such as gene bodies, regulatory elements, and expression-associated regions.
  • Annotation and comparison: Compares sequence alignments (BAM) or interval annotations (BED/GFF) against genome annotation tracks to assess feature overlap.
  • Pipeline integration: Produces overlap counts that can be incorporated into larger bioinformatics pipelines for automated analyses.

Methodology:

Implements efficient algorithms for detecting overlaps between genomic intervals using optimized data structures and processing techniques; accepts BED, GFF, and BAM inputs and operates on both public and custom genome annotation tracks.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Shell, Python
Added:
12/19/2016
Last Updated:
6/1/2022

Operations

Publications

Quinlan AR, Hall IM. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 2010;26(6):841-842. doi:10.1093/bioinformatics/btq033. PMID:20110278. PMCID:PMC2832824.

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