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GASSST: global alignment short sequence search tool
Motivation: The rapid development of next-generation sequencing technologies able to produce huge amounts of sequence data is leading to a wide range of new applications. This triggers the need for fast and accurate alignment software. Common techniques often restrict indels in the alignment to impr...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951093/ https://www.ncbi.nlm.nih.gov/pubmed/20739310 http://dx.doi.org/10.1093/bioinformatics/btq485 |
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author | Rizk, Guillaume Lavenier, Dominique |
author_facet | Rizk, Guillaume Lavenier, Dominique |
author_sort | Rizk, Guillaume |
collection | PubMed |
description | Motivation: The rapid development of next-generation sequencing technologies able to produce huge amounts of sequence data is leading to a wide range of new applications. This triggers the need for fast and accurate alignment software. Common techniques often restrict indels in the alignment to improve speed, whereas more flexible aligners are too slow for large-scale applications. Moreover, many current aligners are becoming inefficient as generated reads grow ever larger. Our goal with our new aligner GASSST (Global Alignment Short Sequence Search Tool) is thus 2-fold—achieving high performance with no restrictions on the number of indels with a design that is still effective on long reads. Results: We propose a new efficient filtering step that discards most alignments coming from the seed phase before they are checked by the costly dynamic programming algorithm. We use a carefully designed series of filters of increasing complexity and efficiency to quickly eliminate most candidate alignments in a wide range of configurations. The main filter uses a precomputed table containing the alignment score of short four base words aligned against each other. This table is reused several times by a new algorithm designed to approximate the score of the full dynamic programming algorithm. We compare the performance of GASSST against BWA, BFAST, SSAHA2 and PASS. We found that GASSST achieves high sensitivity in a wide range of configurations and faster overall execution time than other state-of-the-art aligners. Availability: GASSST is distributed under the CeCILL software license at http://www.irisa.fr/symbiose/projects/gassst/ Contact: guillaume.rizk@irisa.fr; dominique.lavenier@irisa.fr Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-2951093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29510932010-10-08 GASSST: global alignment short sequence search tool Rizk, Guillaume Lavenier, Dominique Bioinformatics Original Paper Motivation: The rapid development of next-generation sequencing technologies able to produce huge amounts of sequence data is leading to a wide range of new applications. This triggers the need for fast and accurate alignment software. Common techniques often restrict indels in the alignment to improve speed, whereas more flexible aligners are too slow for large-scale applications. Moreover, many current aligners are becoming inefficient as generated reads grow ever larger. Our goal with our new aligner GASSST (Global Alignment Short Sequence Search Tool) is thus 2-fold—achieving high performance with no restrictions on the number of indels with a design that is still effective on long reads. Results: We propose a new efficient filtering step that discards most alignments coming from the seed phase before they are checked by the costly dynamic programming algorithm. We use a carefully designed series of filters of increasing complexity and efficiency to quickly eliminate most candidate alignments in a wide range of configurations. The main filter uses a precomputed table containing the alignment score of short four base words aligned against each other. This table is reused several times by a new algorithm designed to approximate the score of the full dynamic programming algorithm. We compare the performance of GASSST against BWA, BFAST, SSAHA2 and PASS. We found that GASSST achieves high sensitivity in a wide range of configurations and faster overall execution time than other state-of-the-art aligners. Availability: GASSST is distributed under the CeCILL software license at http://www.irisa.fr/symbiose/projects/gassst/ Contact: guillaume.rizk@irisa.fr; dominique.lavenier@irisa.fr Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-10-15 2010-08-24 /pmc/articles/PMC2951093/ /pubmed/20739310 http://dx.doi.org/10.1093/bioinformatics/btq485 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Rizk, Guillaume Lavenier, Dominique GASSST: global alignment short sequence search tool |
title | GASSST: global alignment short sequence search tool |
title_full | GASSST: global alignment short sequence search tool |
title_fullStr | GASSST: global alignment short sequence search tool |
title_full_unstemmed | GASSST: global alignment short sequence search tool |
title_short | GASSST: global alignment short sequence search tool |
title_sort | gassst: global alignment short sequence search tool |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951093/ https://www.ncbi.nlm.nih.gov/pubmed/20739310 http://dx.doi.org/10.1093/bioinformatics/btq485 |
work_keys_str_mv | AT rizkguillaume gassstglobalalignmentshortsequencesearchtool AT lavenierdominique gassstglobalalignmentshortsequencesearchtool |