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MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution
BACKGROUND: MATLAB is a high-performance language for technical computing, integrating computation, visualization, and programming in an easy-to-use environment. It has been widely used in many areas, such as mathematics and computation, algorithm development, data acquisition, modeling, simulation,...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1274259/ https://www.ncbi.nlm.nih.gov/pubmed/15780146 http://dx.doi.org/10.1186/1471-2105-6-64 |
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author | Cai, James J Smith, David K Xia, Xuhua Yuen, Kwok-yung |
author_facet | Cai, James J Smith, David K Xia, Xuhua Yuen, Kwok-yung |
author_sort | Cai, James J |
collection | PubMed |
description | BACKGROUND: MATLAB is a high-performance language for technical computing, integrating computation, visualization, and programming in an easy-to-use environment. It has been widely used in many areas, such as mathematics and computation, algorithm development, data acquisition, modeling, simulation, and scientific and engineering graphics. However, few functions are freely available in MATLAB to perform the sequence data analyses specifically required for molecular biology and evolution. RESULTS: We have developed a MATLAB toolbox, called MBEToolbox, aimed at filling this gap by offering efficient implementations of the most needed functions in molecular biology and evolution. It can be used to manipulate aligned sequences, calculate evolutionary distances, estimate synonymous and nonsynonymous substitution rates, and infer phylogenetic trees. Moreover, it provides an extensible, functional framework for users with more specialized requirements to explore and analyze aligned nucleotide or protein sequences from an evolutionary perspective. The full functions in the toolbox are accessible through the command-line for seasoned MATLAB users. A graphical user interface, that may be especially useful for non-specialist end users, is also provided. CONCLUSION: MBEToolbox is a useful tool that can aid in the exploration, interpretation and visualization of data in molecular biology and evolution. The software is publicly available at and . |
format | Text |
id | pubmed-1274259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-12742592005-10-29 MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution Cai, James J Smith, David K Xia, Xuhua Yuen, Kwok-yung BMC Bioinformatics Software BACKGROUND: MATLAB is a high-performance language for technical computing, integrating computation, visualization, and programming in an easy-to-use environment. It has been widely used in many areas, such as mathematics and computation, algorithm development, data acquisition, modeling, simulation, and scientific and engineering graphics. However, few functions are freely available in MATLAB to perform the sequence data analyses specifically required for molecular biology and evolution. RESULTS: We have developed a MATLAB toolbox, called MBEToolbox, aimed at filling this gap by offering efficient implementations of the most needed functions in molecular biology and evolution. It can be used to manipulate aligned sequences, calculate evolutionary distances, estimate synonymous and nonsynonymous substitution rates, and infer phylogenetic trees. Moreover, it provides an extensible, functional framework for users with more specialized requirements to explore and analyze aligned nucleotide or protein sequences from an evolutionary perspective. The full functions in the toolbox are accessible through the command-line for seasoned MATLAB users. A graphical user interface, that may be especially useful for non-specialist end users, is also provided. CONCLUSION: MBEToolbox is a useful tool that can aid in the exploration, interpretation and visualization of data in molecular biology and evolution. The software is publicly available at and . BioMed Central 2005-03-22 /pmc/articles/PMC1274259/ /pubmed/15780146 http://dx.doi.org/10.1186/1471-2105-6-64 Text en Copyright © 2005 Cai et al; licensee BioMed Central Ltd. |
spellingShingle | Software Cai, James J Smith, David K Xia, Xuhua Yuen, Kwok-yung MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution |
title | MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution |
title_full | MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution |
title_fullStr | MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution |
title_full_unstemmed | MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution |
title_short | MBEToolbox: a Matlab toolbox for sequence data analysis in molecular biology and evolution |
title_sort | mbetoolbox: a matlab toolbox for sequence data analysis in molecular biology and evolution |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1274259/ https://www.ncbi.nlm.nih.gov/pubmed/15780146 http://dx.doi.org/10.1186/1471-2105-6-64 |
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