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PMID: 16594991 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Bio++: a set of C++ libraries for sequence analysis, phylogenetics, molecular evolution and population genetics.

BMC bioinformatics ·Vol. 7 ·2006-04-04 ·Pages 188

Dutheil J, Gaillard S, Bazin E, Glémin S, Ranwez V, Galtier N, Belkhir K

Abstract

A large number of bioinformatics applications in the fields of bio-sequence analysis, molecular evolution and population genetics typically share input/output methods, data storage requirements and data analysis algorithms. Such common features may be conveniently bundled into re-usable libraries, which enable the rapid development of new methods and robust applications. We present Bio++, a set of Object Oriented libraries written in C++. Available components include classes for data storage and handling (nucleotide/amino-acid/codon sequences, trees, distance matrices, population genetics datasets), various input/output formats, basic sequence manipulation (concatenation, transcription, translation, etc.), phylogenetic analysis (maximum parsimony, markov models, distance methods, likelihood computation and maximization), population genetics/genomics (diversity statistics, neutrality tests, various multi-locus analyses) and various algorithms for numerical calculus. Implementation of methods aims at being both efficient and user-friendly. A special concern was given to the library design to enable easy extension and new methods development. We defined a general hierarchy of classes that allow the developer to implement its own algorithms while remaining compatible with the rest of the libraries. Bio++ source code is distributed free of charge under the CeCILL general public licence from its website http://kimura.univ-montp2.fr/BioPP.

MeSH Terms
Algorithms Amino Acid Sequence Animals Computational Biology/instrumentation,methods Evolution, Molecular Genetics, Population/methods Humans Models, Statistical Molecular Sequence Data Phylogeny Programming Languages Sequence Homology, Amino Acid Software
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Dutheil Julien
CNRS UMR 5171--Génome, Populations, Interactions, Adaptation (GPIA), Université Montpellier 2, France. [email protected]
Gaillard Sylvain
Bazin Eric
Glémin Sylvain
Ranwez Vincent
Galtier Nicolas
Belkhir Khalid
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12 references, click to expand
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2006-04-04
Epub
2006-00-04
Pages
188
Language
English
Region
England
NLM ID
100965194
PMCID
PMC1501049
Subset
IM
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