SpeedSeq
SpeedSeq performs rapid alignment, variant detection (germline and somatic single-nucleotide variants, structural variants, insertions, and deletions), and functional annotation of human genomes to support genomic analyses such as cancer genomics, population genetics, and personalized medicine, processing a 50× coverage human genome in approximately 13 hours.
Key Features:
- Rapid processing: Processes a 50× coverage human genome in approximately 13 hours, enabling end-to-end analysis on reasonable computational resources.
- Alignment and variant detection: Performs rapid alignment and variant detection covering germline and somatic single-nucleotide variants (SNVs), structural variants, insertions, and deletions.
- Functional annotation and interpretation: Provides functional annotation of detected variants and streamlined interpretation functionality.
- Competitive performance: Offers performance competitive with or superior to existing methods for detecting a wide range of genomic variants.
Scientific Applications:
- Cancer genomics: Detects somatic mutations for oncology and cancer genomics studies.
- Population genetics: Processes large-scale genomic datasets for population genetics studies.
- Personalized medicine: Supports genomic profiling and variant interpretation for personalized medicine applications.
Methodology:
Integrates optimized alignment algorithms, variant calling for germline and somatic SNVs, structural variant, insertion and deletion detection, and functional annotation with streamlined interpretation.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C
- Added:
- 3/18/2022
- Last Updated:
- 3/18/2022
Operations
Publications
Chiang C, Layer RM, Faust GG, Lindberg MR, Rose DB, Garrison EP, Marth GT, Quinlan AR, Hall IM. SpeedSeq: ultra-fast personal genome analysis and interpretation. Nature Methods. 2015;12(10):966-968. doi:10.1038/nmeth.3505. PMID:26258291. PMCID:PMC4589466.