Abstract
GPU-BSW is a version of Smith-Waterman alignment algorithm which has been optimized to perform large number of sequence alignments on GPUs.
- Developers:
-
Yelick, Katherine [1] ; Oliker, Leonid [1] ; Awan, Muaaz Gul [1]
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Release Date:
- 2019-11-14
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC02-05CH11231Other Award/Contract Number:ORNL No. DE-AC05-00OR22725
- Code ID:
- 33325
- Site Accession Number:
- 2020-006
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Country of Origin:
- United States
Citation Formats
Yelick, Katherine A., Oliker, Leonid, and Awan, Muaaz Gul.
A Domain indEpendent sequence alignment strategy for gPu archiTectures (ADEPT) v1.0.
Computer Software.
https://github.com/m-gul/GPU-BSW.
USDOE.
14 Nov. 2019.
Web.
doi:10.11578/dc.20191223.1.
Yelick, Katherine A., Oliker, Leonid, & Awan, Muaaz Gul.
(2019, November 14).
A Domain indEpendent sequence alignment strategy for gPu archiTectures (ADEPT) v1.0.
[Computer software].
https://github.com/m-gul/GPU-BSW.
https://doi.org/10.11578/dc.20191223.1.
Yelick, Katherine A., Oliker, Leonid, and Awan, Muaaz Gul.
"A Domain indEpendent sequence alignment strategy for gPu archiTectures (ADEPT) v1.0." Computer software.
November 14, 2019.
https://github.com/m-gul/GPU-BSW.
https://doi.org/10.11578/dc.20191223.1.
@misc{
doecode_33325,
title = {A Domain indEpendent sequence alignment strategy for gPu archiTectures (ADEPT) v1.0},
author = {Yelick, Katherine A. and Oliker, Leonid and Awan, Muaaz Gul},
abstractNote = {GPU-BSW is a version of Smith-Waterman alignment algorithm which has been optimized to perform large number of sequence alignments on GPUs.},
doi = {10.11578/dc.20191223.1},
url = {https://doi.org/10.11578/dc.20191223.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20191223.1}},
year = {2019},
month = {nov}
}