Computational Biology & Evolution

Archive for the ‘trees’ tag

Course: Analysis and manipulation of phylogenomic data using ETE

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A three days practical course on ETE, entitled “Analysis and manipulation of phylogenomic data using ETE”, will be held in Portugal from June 23rd to June 25th. The course is organized by the Gabaldon’s lab at CRG and The Gulbenkian Training Programme in Bioinformatics (GTPB).

More info at:

Written by jaime

April 24th, 2010 at 1:03 pm

The pea aphid genome and phylome

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With the sequencing of the Acyrthosiphon pisum genome [1], aphid research enters the genome era. The reconstruction of the complete collection of evolutionary histories of aphid  genes and their homologues in other sequenced arthropods [2] has not only helped in the annotation of the genome sequence but has also already provided important insights into the evolution of this specialized hemipteran. In particular, we undertook a phylogenetic analysis for every protein of this species in a context 13 other fully-sequenced arthropods and three out-group species. Subsequent analyses have revealed multiple gene expansions that are specific to aphids and have served to transfer functional annotations to 4058 pea aphid genes that display one-to-one orthology relationships with Drosophila melanogaster annotated genes. To our knowledge, this is the first time that such a reliable methodology has been applied in the annotation pipeline of a newly sequenced genome.

  1. Genome sequence of the pea aphid Acyrthosiphon pisum. International Aphid Genomics Consortium. PLoS Biol. 2010 Feb 23;8(2):e1000313.
  2. The pea aphid phylome: a complete catalogue of evolutionary histories and arthropod orthology and paralogy relationships for Acyrthosiphon pisum genes. J. Huerta-Cepas, M. Marcet-Houben, M. Pignatelli, A. Moya and T. Gabaldón

Written by jaime

March 17th, 2010 at 11:20 am

ETE v2 released (a python toolkit to deal with phylogenetic trees)

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ETE is a python programming toolkit that assists in the automated manipulation, analysis and visualization of hierarchical trees [1]. It provides a broad set of tree handling options as well as specific methods to analyze phylogenetic and clustering trees. It supports large tree data structures, node annotation, independent editing and analysis of tree partitions and the association of trees with external data such as multiple sequence alignments or numerical matrices.

  1. ETE: a python Environment for Tree Exploration Jaime Huerta-Cepas, Joaquín Dopazo and Toni Gabaldón.  BMC Bioinformatics 2010, 11:24doi:10.1186/1471-2105-11-24

If you work on phylogenetics and use python for writing your programs, check this program out at http://ete.cgenomics.org

Written by jaime

November 12th, 2009 at 12:50 pm

Posted in Bioinformatics

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