Bystro
Bystro annotates and filters genetic variants from large-scale whole-genome sequencing datasets using a natural-language search engine for rapid variant retrieval.
Key Features:
- Variant Annotation Engine: Annotates genetic variants from large whole-genome sequencing datasets across thousands of samples.
- Natural-Language Variant Search: Uses a general-purpose natural-language search engine to query and filter annotated variant data.
- Large-Scale Dataset Processing: Processes terabyte-scale genomic datasets generated from large cohort sequencing experiments.
- High-Speed Variant Filtering: Enables rapid identification and export of variants and samples matching complex query criteria.
Scientific Applications:
- Population Genomics Analysis: Identifies and analyzes genetic variants across large cohorts in population-scale sequencing studies.
- Cancer Genomics Research: Detects disease-associated variants within tumor and genomic sequencing datasets.
- Genomic Variant Discovery: Supports identification and prioritization of variants relevant to disease and genetic diversity studies.
Methodology:
Bystro annotates genomic variants from whole-genome sequencing data and indexes the annotations using a natural-language search engine to enable rapid filtering and retrieval of variants and associated samples.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/15/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Kotlar AV, Trevino CE, Zwick ME, Cutler DJ, Wingo TS. Bystro: rapid online variant annotation and natural-language filtering at whole-genome scale. Genome Biology. 2018;19(1). doi:10.1186/s13059-018-1387-3. PMID:29409527. PMCID:PMC5801807.
PMID: 29409527
PMCID: PMC5801807
Funding: - Amazon Web Services: AWS Cloud Credits for Research program
- Burroughs Wellcome Fund: 1008188
- Office of Research and Development: BX001820
- National Institutes of Health: AG025688, MH101720, NS091859
- Foundation for the National Institutes of Health: AG056533
- National Institute on Aging: AG056533
Documentation
General
https://bystro.io/help