pindel2vcf
pindel2vcf converts Pindel output into VCF and indexes variant calls to enable analysis of indels and other structural variants detected from paired-end short-read sequencing data.
Key Features:
- Breakpoint detection (Pindel pattern growth): Uses Pindel's pattern growth approach to identify breakpoints of large deletions and medium-sized insertions from paired-end short reads.
- VCF conversion: Converts Pindel-format variant calls into Variant Call Format (VCF) for interoperability with downstream tools.
- Indexing: Produces indexed VCF outputs to facilitate efficient querying and analysis of variant data.
- Validation: Methodology has been validated on both simulated reads and real sequencing data, demonstrating high efficiency and accuracy in identifying structural variants.
- Computational integration: Compatible with Galaxy and runnable within Galaxy@Pasteur, including execution on the Institut Pasteur cluster.
Scientific Applications:
- Genomic research: Supports detection and cataloging of structural variants for studies of genetic diversity and genome structure.
- Clinical genomics: Enables identification of indels relevant to genetic diagnosis and interpretation in clinical sequencing.
- Metagenomic analysis: Applicable in metagenomic workflows (e.g., MetaGenSense) for detecting structural variation in complex microbial communities.
Methodology:
Pindel's pattern growth algorithm identifies breakpoints from paired-end short reads, and outputs are converted to VCF and indexed for downstream analysis.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/19/2016
- Last Updated:
- 6/16/2020
Operations
Data Inputs & Outputs
Publications
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.
Ye K, Schulz MH, Long Q, Apweiler R, Ning Z. Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads. Bioinformatics. 2009;25(21):2865-2871. doi:10.1093/bioinformatics/btp394. PMID:19561018. PMCID:PMC2781750.
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.