Pregled bibliografske jedinice broj: 643444
SW#–GPU-enabled exact alignments on genome scale
SW#–GPU-enabled exact alignments on genome scale // Bioinformatics, 29 (2013), 19; 2494-2495 doi:10.1093/bioinformatics/btt410 (međunarodna recenzija, kratko priopcenje, znanstveni)
CROSBI ID: 643444 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
SW#–GPU-enabled exact alignments on genome scale
Autori
Korpar, Matija ; Šikić, Mile
Izvornik
Bioinformatics (1367-4803) 29
(2013), 19;
2494-2495
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, kratko priopcenje, znanstveni
Ključne riječi
sequence alignment; algorithm; Smith-Waterman; GPU
Sažetak
We propose SW#, a new CUDA graphical processor unit-enabled and memory-efficient implementation of dynamic programming algorithm, for local alignment. It can be used as either a stand-alone application or a library. Although there are other graphical processor unit implementations of the Smith–Waterman algorithm, SW# is the only one publicly available that can produce sequence alignments on genome-wide scale. For long sequences, it is at least a few hundred times faster than a CPU version of the same algorithm.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1987 - Modeliranje kompleksnih sustava (Jeren, Branko, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Mile Šikić
(autor)
Poveznice na cjeloviti tekst rada:
doi bioinformatics.oxfordjournals.org bioinformatics.oxfordjournals.orgCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
