Article: SOAP3: ultra-fast GPU-based parallel alignment tool for short reads
| Title | SOAP3: ultra-fast GPU-based parallel alignment tool for short reads |
|---|---|
| Authors | Liu, CM1 Wong, T1 Wu, E1 Luo, R1 Yiu, SM1 Li, Y Wang, B Yu, C Chu, X2 Zhao, K2 Li, R3 Lam, TW1 |
| Keywords | Article Computer program Dna sequence High throughput sequencing Human genome |
| Issue Date | 2012 |
| Publisher | Oxford University Press. The Journal's web site is located at http://bioinformatics.oxfordjournals.org/ |
| Citation | Bioinformatics, 2012, v. 28 n. 6, p. 878-879 [How to Cite?] DOI: http://dx.doi.org/10.1093/bioinformatics/bts061 |
| Abstract | SOAP3 is the first short read alignment tool that leverages the multi-processors in a graphic processing unit (GPU) to achieve a drastic improvement in speed. We adapted the compressed full-text index (BWT) used by SOAP2 in view of the advantages and disadvantages of GPU. When tested with millions of Illumina Hiseq 2000 length-100 bp reads, SOAP3 takes < 30 s to align a million read pairs onto the human reference genome and is at least 7.5 and 20 times faster than BWA and Bowtie, respectively. For aligning reads with up to four mismatches, SOAP3 aligns slightly more reads than BWA and Bowtie; this is because SOAP3, unlike BWA and Bowtie, is not heuristic-based and always reports all answers. © The Author 2012. Published by Oxford University Press. All rights reserved. |
| ISSN | 1367-4803 2011 Impact Factor: 5.468 2011 SCImago Journal Rankings: 1.118 |
| DOI | http://dx.doi.org/10.1093/bioinformatics/bts061 |
| dc.contributor.author | Liu, CM |
|---|---|
| dc.contributor.author | Wong, T |
| dc.contributor.author | Wu, E |
| dc.contributor.author | Luo, R |
| dc.contributor.author | Yiu, SM |
| dc.contributor.author | Li, Y |
| dc.contributor.author | Wang, B |
| dc.contributor.author | Yu, C |
| dc.contributor.author | Chu, X |
| dc.contributor.author | Zhao, K |
| dc.contributor.author | Li, R |
| dc.contributor.author | Lam, TW |
| dc.date.accessioned | 2012-09-20T08:24:29Z |
| dc.date.available | 2012-09-20T08:24:29Z |
| dc.date.issued | 2012 |
| dc.description.abstract | SOAP3 is the first short read alignment tool that leverages the multi-processors in a graphic processing unit (GPU) to achieve a drastic improvement in speed. We adapted the compressed full-text index (BWT) used by SOAP2 in view of the advantages and disadvantages of GPU. When tested with millions of Illumina Hiseq 2000 length-100 bp reads, SOAP3 takes < 30 s to align a million read pairs onto the human reference genome and is at least 7.5 and 20 times faster than BWA and Bowtie, respectively. For aligning reads with up to four mismatches, SOAP3 aligns slightly more reads than BWA and Bowtie; this is because SOAP3, unlike BWA and Bowtie, is not heuristic-based and always reports all answers. © The Author 2012. Published by Oxford University Press. All rights reserved. |
| dc.description.nature | Link_to_subscribed_fulltext |
| dc.identifier.citation | Bioinformatics, 2012, v. 28 n. 6, p. 878-879 [How to Cite?] DOI: http://dx.doi.org/10.1093/bioinformatics/bts061 |
| dc.identifier.citeulike | 10282959 |
| dc.identifier.doi | http://dx.doi.org/10.1093/bioinformatics/bts061 |
| dc.identifier.epage | 879 |
| dc.identifier.hkuros | 208102 |
| dc.identifier.issn | 1367-4803 2011 Impact Factor: 5.468 2011 SCImago Journal Rankings: 1.118 |
| dc.identifier.issue | 6 |
| dc.identifier.scopus | eid_2-s2.0-84859048351 |
| dc.identifier.spage | 878 |
| dc.identifier.uri | http://hdl.handle.net/10722/165844 |
| dc.identifier.volume | 28 |
| dc.language | eng |
| dc.publisher | Oxford University Press. The Journal's web site is located at http://bioinformatics.oxfordjournals.org/ |
| dc.publisher.place | United Kingdom |
| dc.relation.ispartof | Bioinformatics |
| dc.subject | Article |
| dc.subject | Computer program |
| dc.subject | Dna sequence |
| dc.subject | High throughput sequencing |
| dc.subject | Human genome |
| dc.title | SOAP3: ultra-fast GPU-based parallel alignment tool for short reads |
| dc.type | Article |
Author Affiliations
- The University of Hong Kong
- Hong Kong Baptist University
- Peking University

