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