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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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Detalles Bibliográficos
Autores principales: Essoussi, Nadia, Fayech, Sondes
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2007
Materias:
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.
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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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