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.