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Journal Article

The SYSTERS Protein Family Database in 2005

MPS-Authors

Meinel,  Thomas
Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50417

Luz,  Hannes
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50613

Vingron,  Martin
Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

Staub,  Eike
Max Planck Society;

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Fulltext (public)

D226.pdf
(Any fulltext), 648KB

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Citation

Meinel, T., Krause, A., Luz, H., Vingron, M., & Staub, E. (n.d.). The SYSTERS Protein Family Database in 2005. Database issue, D226-D229. doi:10.1093/nar/gki030.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-8CE0-4
Abstract
The SYSTERS project aims to provide a meaningful partitioning of the whole protein sequence space by a fully automatic procedure. A refined two-step algorithm assigns each protein to a family and a superfamily. The sequence data underlying SYSTERS release 4 now comprise several protein sequence databases derived from completely sequenced genomes (ENSEMBL, TAIR, SGD and GeneDB), in addition to the comprehensive Swiss-Prot/TrEMBL databases. The SYSTERS web server (http://systers.molgen.mpg.de) provides access to 158 153 SYSTERS protein families. To augment the automatically derived results, information from external databases like Pfam and Gene Ontology are added to the web server. Furthermore, users can retrieve pre-processed analyses of families like multiple alignments and phylogenetic trees. New query options comprise a batch retrieval tool for functional inference about families based on automatic keyword extraction from sequence annotations. A new access point, PhyloMatrix, allows the retrieval of phylogenetic profiles of SYSTERS families across organisms with completely sequenced genomes.