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GOTax: investigating biological processes and biochemical activities along the taxonomic tree

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Schlicker,  Andreas
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Rahnenführer,  Jörg
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Albrecht,  Mario
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44907

Lengauer,  Thomas
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44341

Domingues,  Francisco S.
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Citation

Schlicker, A., Rahnenführer, J., Albrecht, M., Lengauer, T., & Domingues, F. S. (2007). GOTax: investigating biological processes and biochemical activities along the taxonomic tree. Genome Biology, 8(3), R33.1-10. doi:10.1186/gb-2007-8-3-r33.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1F5D-9
Abstract
We describe GOTax (http://gotax.bioinf.mpi-inf.mpg.de/), a comparative genomics platform that integrates protein annotation with protein family classification and taxonomy. User-defined sets of proteins, protein families, annotation terms or taxonomic groups can be selected and compared, allowing for the analysis of distribution of biological processes and molecular activities over different taxonomic groups. In particular, a measure of functional similarity is available for comparing proteins and protein families, establishing functional relationships independent of evolution.