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</script>Abstract 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 http://web.hku.hk/~jamescai/mbetoolbox/ and http://bioinformatics.org/project/?group_id=454.
Molecular Biology - methods, QH301-705.5, Computer applications to medicine. Medical informatics, R858-859.7, Information Storage and Retrieval, Ligands, Evolution, Molecular, Computer-Assisted, Computer Graphics, Cluster Analysis, Computer Simulation, Biology (General), Molecular Biology, Oligonucleotide Array Sequence Analysis, Internet, Models, Genetic, Gene Expression Profiling, 005, Computational Biology, Proteins, Signal Processing, Computer-Assisted, Sequence Analysis, DNA, Biological Evolution, Signal Processing, Computational Biology - methods, Database Management Systems, Programming Languages, Sequence Alignment, Software, Algorithms
Molecular Biology - methods, QH301-705.5, Computer applications to medicine. Medical informatics, R858-859.7, Information Storage and Retrieval, Ligands, Evolution, Molecular, Computer-Assisted, Computer Graphics, Cluster Analysis, Computer Simulation, Biology (General), Molecular Biology, Oligonucleotide Array Sequence Analysis, Internet, Models, Genetic, Gene Expression Profiling, 005, Computational Biology, Proteins, Signal Processing, Computer-Assisted, Sequence Analysis, DNA, Biological Evolution, Signal Processing, Computational Biology - methods, Database Management Systems, Programming Languages, Sequence Alignment, Software, Algorithms
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 42 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
