Naslov
SWORD—a highly efficient protein database search

Autori
Vaser, Robert ; Pavlović, Dario ; Šikić, Mile

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
ECCB 2016: THE 15TH EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY / - , 2016, 680-684

Skup
ECCB 2016: THE 15TH EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY

Mjesto i datum
Den Haag, Nizozemska, 03.09.2016. - 09.09.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
protein, sequence similarity search, alignment

Sažetak
Motivation: Protein database search is one of the fundamental problems in bioinformatics. For decades, it has been explored and solved using different exact and heuristic approaches. However, exponential growth of data in recent years has brought significant challenges in improving already existing algorithms. BLAST has been the most successful tool for protein database search, but is also becoming a bottleneck in many applications. Due to that, many different approaches have been developed to complement or replace it. In this article, we present SWORD, an efficient protein database search implementation that runs 8–16 times faster than BLAST in the sensitive mode and up to 68 times faster in the fast and less accurate mode. It is designed to be used in nearly all database search environments, but is especially suitable for large databases. Its sensitivity exceeds that of BLAST for majority of input datasets and provides guaranteed optimal alignments. Availability and Implementation: Sword is freely available for download from https://github.com/rvaser/sword

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Računarstvo

POVEZANOST RADA