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The SYSTERS Protein Family Database in 2005

MPG-Autoren

Meinel,  Thomas
Max Planck Society;

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

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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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Meinel et al. - Nucleic Acids Res.pdf
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D226.pdf
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Zitation

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.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0010-8CE0-4
Zusammenfassung
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.