WhopGenome
WhopGenome processes large-scale variant call format (VCF) files and related genomic data within the R environment to enable efficient reading of local and remote VCFs, Tabix-indexed access, FASTA indexing, integration with UCSC genome annotations, and reading/writing of PLINK .PED pedigree files for population-scale resequencing analyses.
Key Features:
- Efficient VCF Data Handling: Reads whole-genome VCF files into R-compatible data types with performance optimizations for large-scale datasets and supports VCFs stored locally or on remote servers.
- Integration with Genome Annotations: Maps and integrates variant data with annotations from the UCSC Genome Browser.
- Selective Data Access: Applies user-defined filtering criteria to read subsets of loci and reduce input/output for targeted analyses.
- Support for Tabix-indexed Files: Reads Tabix-indexed files to enable efficient region-specific access to genomic data.
- FASTA File Indexing: Creates indices for FASTA files to permit fast, selective sequence retrieval.
- Pedigree Data Management: Reads, modifies, and writes PLINK .PED-format pedigree files for linkage and family-based analyses.
Scientific Applications:
- Population genetics studies: Processing and annotation of population-scale variant datasets for population-genomic analyses.
- Genome-wide association studies (GWAS): Providing fast access to variant and annotation data to support GWAS input preparation and variant filtering.
- Genetic linkage and family-based studies: Enabling pedigree-based analyses via PLINK .PED read/modify/write functionality.
- Comparative genomics analyses: Facilitating sequence retrieval and comparison through FASTA indexing.
Methodology:
Leverages compatibility with the R programming environment, optimizes the reading and processing of large VCF files, and integrates with UCSC genome annotation resources.
Topics
Details
- License:
- GPL-2.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 5/16/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Wittelsbürger U, Pfeifer B, Lercher MJ. WhopGenome: high-speed access to whole-genome variation and sequence data in R. Bioinformatics. 2014;31(3):413-415. doi:10.1093/bioinformatics/btu636. PMID:25273104.