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EvoIO: Community-driven standards for sustainable interoperability 17
Arlin Stoltzfus; Karen Cranston; Hilmar Lapp; Sheldon McKay; Enrico Pontelli; Rutger Vos; Nico Cellinese.
Interoperability is the property that allows systems to work together independent of who created them, or how or for what purpose they were implemented. It is crucial for aggregating data from different online resources and for integrating different kinds of data. Interoperability is based on effective standards that become and remain broadly adopted. We argue that to develop and apply such standards for evolutionary and biodiversity data sustainably, we need a community-driven, open, and participatory approach. With the goal to build such an approach, the EvoIO collaboration emerged in 2009 from several NESCent-sponsored activities. EvoIO aims to be a nucleating center for developing, applying and disseminating interoperability technology that connects...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4588/version/1
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Bio::Phylo - Phyloinformatic Analysis Using Perl 17
Rutger Vos.
Recent years have seen the emergence of the field of phyloinformatics. In the course of a phyloinformatic analysis, data and metadata are generated, transformed, filtered, analyzed and summarized before they can be interpreted to answer meaningful biological questions. Based on first principles of good science such steps should be reproducible; and, in practice, analysis steps often need to be redone by the researcher multiple times anyway and are too error-prone, tedious and time-consuming to do by hand. Hence, phyloinformatic analyses benefit from increased automation. 

The Bio::Phylo toolkit promotes this by giving easy access to phylogenetic data objects (trees, taxa, character state matrices) read from a variety of...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4601/version/1
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