Programming languages for bioinformatics

Authors

  • Noé Fernández Pozo Spain

Keywords:

Programming languages, bioinformatics, digital

Abstract

Today, with the advancement of computer science, communication networks, and new laboratory techniques, we can have a large amount of information in digital format. In the case of biology, there are many databases that store information from biological experiments, and experiments are being carried out with devices that can return a large amount of information in computer files, such as next-generation sequencers and microarray experiments.

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Uma Editorial. Universidad de Málaga

References

Falgueras J., et al. SeqTrim: a high-throughput pipeline for preprocessing any type of sequence reads BMC Bioinformatics 2010, 11:38

Goto et al. BioRuby: bioinformatics software for the Ruby programming language. Bioinformatics 2010, 26(20):2617-9

Cock et al. Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics. 2009, 25(11):1422-3

Fourment M. and Gillings M.R. A comparison of common programming languages used in bioinformatics. BMC Bioinformatics 2008, 9:82

Stajich JE. An introduction to BioPerl. Meth Mol Biol 2007, 406:535-48

Published

2011-07-20

How to Cite

Fernández Pozo, N. (2011). Programming languages for bioinformatics. Encuentros En La Biología, 4(134), 31–32. Retrieved from https://www.revistas.uma.es/index.php/enbio/article/view/18458

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Artículos