2-kupl

2-kupl detects genomic variants between two matched DNA sequencing (DNA-seq) samples using a mapping-free k-mer–based comparative analysis.


Key Features:

  • Mapping-Free Variant Detection: Identifies genomic variants without aligning reads to a reference genome by directly comparing k-mer content between samples.
  • K-mer–Based Comparative Analysis: Uses k-mer subsequences derived from DNA-seq reads to detect point mutations, insertions and deletions (indels), and structural variants.
  • Variant Detection in Complex Regions: Detects variants in genomic regions difficult to analyze using alignment-based methods, including regions with large indels, aggregated mutations, or repetitive sequences.
  • Reference-Independent Analysis: Enables comparative genomic analysis in datasets lacking suitable reference genomes or containing unmappable genomic regions.
  • Disease Variant Discovery: Identifies candidate variants, including potential recurrent variants detected in prostate cancer whole exome sequencing datasets.

Scientific Applications:

  • Cancer Genomics: Enables detection of somatic variants in complex or poorly mappable genomic regions in cancer sequencing datasets.
  • Microbial Comparative Genomics: Supports comparison of genomic variation between bacterial strains when reference genomes are incomplete or unavailable.
  • Reference-Free Genomic Analysis: Facilitates variant discovery and comparative genomics in organisms lacking well-characterized reference genomes.

Methodology:

The tool extracts k-mers from DNA sequencing reads and compares their frequency and distribution between two matched samples to identify discrepancies indicative of genomic variants.

Topics

Details

License:
MIT
Cost:
Free of charge (with restrictions)
Programming Languages:
C, Python, Shell
Added:
10/12/2021
Last Updated:
10/12/2021

Operations

Publications

Wang Y, Xue H, Pourcel C, Du Y, Gautheret D. 2-kupl: mapping-free variant detection from DNA-seq data of matched samples. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04185-6. PMID:34090332. PMCID:PMC8180056.

PMID: 34090332
PMCID: PMC8180056
Funding: - Agence Nationale de la Recherche, France: ANR-18-CE45-0020