---
code_id: 33325
site_ownership_code: "LBNL"
open_source: true
repository_link: "https://github.com/m-gul/GPU-BSW"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: "KAYelick@lbl.gov"
  orcid: ""
  first_name: "Katherine"
  last_name: "Yelick"
  middle_name: "A"
  affiliations:
  - "Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)"
- email: "LOliker@lbl.gov"
  orcid: ""
  first_name: "Leonid"
  last_name: "Oliker"
  middle_name: ""
  affiliations:
  - "Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)"
- email: "MGAwan@lbl.gov"
  orcid: ""
  first_name: "Muaaz Gul"
  last_name: "Awan"
  middle_name: ""
  affiliations:
  - "Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE"
  funding_identifiers:
  - identifier_type: "AwardNumber"
    identifier_value: "ORNL No. DE-AC05-00OR22725"
  primary_award: "AC02-05CH11231"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United\
    \ States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2019-11-14"
software_title: "A Domain indEpendent sequence alignment strategy for gPu archiTectures\
  \ (ADEPT) v1.0"
acronym: "GPU accelerated Smith-Waterman for performing batch alignments"
doi: "https://doi.org/10.11578/dc.20191223.1"
description: "GPU-BSW is a version of Smith-Waterman alignment algorithm which has\
  \ been optimized to perform large number of sequence alignments on GPUs."
programming_languages: []
country_of_origin: "United States"
project_keywords: []
licenses:
- "BSD 3-clause \"New\" or \"Revised\" License"
recipient_org: "LBNL"
site_accession_number: "2020-006"
date_record_added: "2019-12-23"
date_record_updated: "2021-07-22"
is_file_certified: false
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/33325"