Universität Bielefeld Electronic Collections animiertes Foto Universität Bielefeld

Access to the Document



ADOPS - Automatic Detection Of Positively Selected Sites

Reboiro-Jato, David ; Reboiro-Jato, Miguel ; Fdez-Riverola, Florentino ; Vieira, Cristina P. ; Fonseca, Nuno A. ; Vieira, Jorge

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)


Download file

Abstract:
Maximum-likelihood methods based on models of codon substitution have been widely used to infer positively selected amino acid sites that are responsible for adaptive changes. Nevertheless, in order to use such an approach, software applications are required to align protein and DNA sequences, infer a phylogenetic tree and run the maximum-likelihood models. Therefore, a significant effort is made in order to prepare input files for the different software applications and in the analysis of the output of every analysis. In this paper we present the ADOPS (Automatic Detection Of Positively Selected Sites) software. It was developed with the goal of providing an automatic and flexible tool for detecting positively selected sites given a set of unaligned nucleotide sequence data. An example of the usefulness of such a pipeline is given by showing, under different conditions, positively selected amino acid sites in a set of 54 Coffea putative S-RNase sequences. ADOPS software is freely available and can be downloaded from http://sing.ei.uvigo.es/ADOPS.


Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
Reboiro-Jato, David ; Reboiro-Jato, Miguel ; Fdez-Riverola, Florentino ; Vieira, Cristina P. ; Fonseca, Nuno A. ; Vieira, Jorge  (2012)  ADOPS - Automatic Detection Of Positively Selected Sites. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 9(3): Special Issue: Selected extended papers of the 6th International Conference on Practical Applications of Computational Biology and Bioinformatics, Salamanca, Spain, 2012

Online-Journal: http://journal.imbio.de/article.php?aid=200
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2012/5210



 Questions or comments: publikationsdienste.ub@uni-bielefeld.de
 Latest update: 15 Feb 2011
 Legal Notice
OPUS-Logo     OAI compliant      BU Logo
OAI-Logo