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Computational Biology & Evolution

Archive for the ‘ete’ tag

ETE 2.1 (beta) released. Visualize phylogenetic trees

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A new version of ETE is available for testing. It includes many new features (specially in the tree visualization engine):

  • The programmable tree drawing engine has been rewritten to support circular tree visualization, better control on node graphical attributes, SVG, PDF and PNG rendering, and a module to create interative web tree images.
  • Support for new phylogenetic formats such as Phyloxml and Nexml support.
  • PhylomeDB v3 API is now included
  • Improved documentation system, including web tutorial and programming reference.
  • And a number of improvements and bug fixes

Check the releasing notes to download and start using the new version.

Written by jaime

July 1st, 2011 at 12:44 pm

Posted in Bioinformatics

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COURSE: Analysis and manipulation of phylogenomic data using the ETE python toolkit and TreeKo

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Organized by the Bioinformatics Core Facility at CRG and Toni Gabaldon’s lab.
Location: Centre for Genomic Regulation, Barcelona (Spain).
Duration: 3 days
Dates: April 6th- 8th (2011)
deadline: 15th of March
free registration (limitted places)

More info at http://ete.cgenomics.org/course_2011

Written by jaime

January 26th, 2011 at 3:29 pm

Posted in Bioinformatics

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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:
http://ete.cgenomics.org/GTPB_course_2010
http://gtpb.igc.gulbenkian.pt/bicourses/

Written by jaime

April 24th, 2010 at 1:03 pm

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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