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.

Documentation