Journal
BIOINFORMATICS
Volume 22, Issue 22, Pages 2835-2837Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btl471
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Motivation: The abundance of nucleotide sequence information available has expanded horizons of inquiry for molecular evolution; however, the full potential of whole-genome analysis has not been realized because of inadequate tools. Here, we present one of the first toolkits to aid multidisciplinary high-throughput analysis. Summary: SPEED was created to integrate molecular evolutionary data with existing genetic resources and provide a straightforward user interface to 17 352 orthologous gene groups, containing representatives from eight mammalian species and an avian outgroup. Availability: See http://bioinfobase.umkc.edu/speed/for access Contact: wyckoffg@umkc.edu Supplementary information: A larger version of the data model and a site map are available online.
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