DEVOUR

DEVOUR identifies low-coverage regions in whole-exome sequencing (WES) read alignments and annotates known variants within those regions to reveal clinically relevant deleterious variants missed by insufficient read depth.


Key Features:

  • Identification of Low-Coverage Regions: Scans WES read alignments to pinpoint genomic intervals with no or low coverage, defined as having a read depth of less than 5.
  • Annotation of Known Variants: Annotates known variants within identified low-coverage regions using clinical variant annotation databases.
  • Clinical Relevance: Detects deleterious variants in uncovered regions and associates them with patient clinical phenotypes to support diagnostic interpretation.

Scientific Applications:

  • Hirschsprung disease WES analysis (NCBI Bioproject PRJEB19327): Identified 98 potential disease-associated variants within low-coverage regions across 28 samples.

Methodology:

Scans WES read alignments to detect genomic regions with insufficient coverage and then annotates those regions using established clinical variant databases.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
JavaScript, Python
Added:
4/8/2024
Last Updated:
11/24/2024

Operations

Publications

Türk E, Ayaz A, Yüksek A, Süzek BE. DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing. PeerJ. 2023;11:e16026. doi:10.7717/peerj.16026. PMID:37727687. PMCID:PMC10506587.

PMID: 37727687
Funding: - Scientific and Technological Research Council of Turkey: 120E522

Links