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A comparison of four pair-wise sequence alignment methods
Protein sequence alignment has become an essential task in modern molecular biology research. A number of alignment techniques have been documented in literature and their corresponding tools are made available as freeware and commercial software. The choice and use of these tools for sequence align...
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2255065/ https://www.ncbi.nlm.nih.gov/pubmed/21670797 |
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author | Essoussi, Nadia Fayech, Sondes |
author_facet | Essoussi, Nadia Fayech, Sondes |
author_sort | Essoussi, Nadia |
collection | PubMed |
description | Protein sequence alignment has become an essential task in modern molecular biology research. A number of alignment techniques have been documented in literature and their corresponding tools are made available as freeware and commercial software. The choice and use of these tools for sequence alignment through the complete interpretation of alignment results is often considered non-trivial by end-users with limited skill in Bioinformatics algorithm development. Here, we discuss the comparison of sequence alignment techniques based on dynamic programming (N-W, S-W) and heuristics (LFASTA, BL2SEQ) for four sets of sequence data towards an educational purpose. The analysis suggests that heuristics based methods are faster than dynamic programming methods in alignment speed. |
format | Text |
id | pubmed-2255065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-22550652008-02-27 A comparison of four pair-wise sequence alignment methods Essoussi, Nadia Fayech, Sondes Bioinformation Hypothesis Protein sequence alignment has become an essential task in modern molecular biology research. A number of alignment techniques have been documented in literature and their corresponding tools are made available as freeware and commercial software. The choice and use of these tools for sequence alignment through the complete interpretation of alignment results is often considered non-trivial by end-users with limited skill in Bioinformatics algorithm development. Here, we discuss the comparison of sequence alignment techniques based on dynamic programming (N-W, S-W) and heuristics (LFASTA, BL2SEQ) for four sets of sequence data towards an educational purpose. The analysis suggests that heuristics based methods are faster than dynamic programming methods in alignment speed. Biomedical Informatics Publishing Group 2007-12-28 /pmc/articles/PMC2255065/ /pubmed/21670797 Text en © 2007 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Essoussi, Nadia Fayech, Sondes A comparison of four pair-wise sequence alignment methods |
title | A comparison of four pair-wise sequence alignment methods |
title_full | A comparison of four pair-wise sequence alignment methods |
title_fullStr | A comparison of four pair-wise sequence alignment methods |
title_full_unstemmed | A comparison of four pair-wise sequence alignment methods |
title_short | A comparison of four pair-wise sequence alignment methods |
title_sort | comparison of four pair-wise sequence alignment methods |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2255065/ https://www.ncbi.nlm.nih.gov/pubmed/21670797 |
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