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Abstract
Building large supertrees involves the collection, storage, and processing of thousands of individual phylogenies to create large phylogenies with thousands to tens of thousands of taxa. Such large phylogenies are useful for macroevolutionary studies, comparative biology and in conservation and biodiversity. No easy to use and fully integrated software package currently exists to carry out this task. Here, we present a new Python-based software package that uses well defined XML schema to manage both data and metadata. It builds on previous versions by 1) including new processing steps, such as Safe Taxonomic Reduction, 2) using a user-friendly GUI that guides the user to complete at least the minimum information required and includes context-sensitive documentation, and 3) a revised storage format that integrates both tree- and meta-data into a single file. These data can then be manipulated according to a well-defined, but flexible, processing pipeline using either the GUI or a command-line based tool. Processing steps include standardising names, deleting or replacing taxa, ensuring adequate taxonomic overlap, ensuring data independence, and safe taxonomic reduction. This software has been successfully used to store and process data consisting of over 1000 trees ready for analyses using standard supertree methods. This software makes large supertree creation a much easier task and provides far greater flexibility for further work.
Original language | English |
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Journal | Biodiversity Data Journal |
DOIs | |
Publication status | Published - 26 Mar 2014 |
Keywords
- supertrees
- bioinformatics
- software
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Dive into the research topics of 'The Supertree Toolkit 2: A new and improved software package with a Graphical User Interface for supertree construction'. Together they form a unique fingerprint.Projects
- 1 Finished
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The Arthropod Supertree of Life: An Online Interactive Resource for Testing patterns in Arthropod Evolution
Wills, M. & Davis, K.
Biotechnology and Biological Sciences Research Council
1/12/12 → 30/04/16
Project: Research council