Literature DB >> 22941988

gcodeml: a Grid-enabled tool for detecting positive selection in biological evolution.

Sébastien Moretti1, Riccardo Murri, Sergio Maffioletti, Arnold Kuzniar, Briséïs Castella, Nicolas Salamin, Marc Robinson-Rechavi, Heinz Stockinger.   

Abstract

One of the important questions in biological evolution is to know if certain changes along protein coding genes have contributed to the adaptation of species. This problem is known to be biologically complex and computationally very expensive. It, therefore, requires efficient Grid or cluster solutions to overcome the computational challenge. We have developed a Grid-enabled tool (gcodeml) that relies on the PAML (codeml) package to help analyse large phylogenetic datasets on both Grids and computational clusters. Although we report on results for gcodeml, our approach is applicable and customisable to related problems in biology or other scientific domains.

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Year:  2012        PMID: 22941988

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  PosiGene: automated and easy-to-use pipeline for genome-wide detection of positively selected genes.

Authors:  Arne Sahm; Martin Bens; Matthias Platzer; Karol Szafranski
Journal:  Nucleic Acids Res       Date:  2017-06-20       Impact factor: 16.971

2.  LMAP: Lightweight Multigene Analyses in PAML.

Authors:  Emanuel Maldonado; Daniela Almeida; Tibisay Escalona; Imran Khan; Vitor Vasconcelos; Agostinho Antunes
Journal:  BMC Bioinformatics       Date:  2016-09-06       Impact factor: 3.169

3.  Rapidly evolving changes and gene loss associated with host switching in Corynebacterium pseudotuberculosis.

Authors:  Marcus Vinicius Canário Viana; Arne Sahm; Aristóteles Góes Neto; Henrique Cesar Pereira Figueiredo; Alice Rebecca Wattam; Vasco Azevedo
Journal:  PLoS One       Date:  2018-11-12       Impact factor: 3.240

4.  POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes.

Authors:  Jorge A Hongo; Giovanni M de Castro; Leandro C Cintra; Adhemar Zerlotini; Francisco P Lobo
Journal:  BMC Genomics       Date:  2015-08-01       Impact factor: 3.969

5.  Selectome update: quality control and computational improvements to a database of positive selection.

Authors:  Sébastien Moretti; Balazs Laurenczy; Walid H Gharib; Briséïs Castella; Arnold Kuzniar; Hannes Schabauer; Romain A Studer; Mario Valle; Nicolas Salamin; Heinz Stockinger; Marc Robinson-Rechavi
Journal:  Nucleic Acids Res       Date:  2013-11-12       Impact factor: 16.971

  5 in total

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