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  SYSTERS, GeneNest, SpliceNest: exploring sequence space from genome to protein

Krause, A., Haas, S. A., Coward, E., & Vingron, M. (2002). SYSTERS, GeneNest, SpliceNest: exploring sequence space from genome to protein. Nucleic Acids Research, 30(1), 299-300.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-8C8C-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-8C8D-2
Genre: Journal Article

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 Creators:
Krause, Antje1, Author
Haas, Stefan A.1, Author
Coward, Eivind1, Author
Vingron, Martin2, Author              
Affiliations:
1Max Planck Society, ou_persistent13              
2Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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 Abstract: We have integrated the protein families from SYSTERS and the expressed sequence tag (EST) clusters from our database GeneNest with SpliceNest, a new database mapping EST contigs into genomic DNA. The SYSTERS protein sequence cluster set provides an automatically generated classification of all sequences of the SWISS-PROT, TrEMBL and PIR databases into disjoint protein family and superfamily clusters. GeneNest is a database and software package for producing and visualizing gene indices from ESTs and mRNAs. Currently, the database comprises gene indices of human, mouse, Arabidopsis thaliana and zebrafish. SpliceNest is a web-based graphical tool to explore gene structure, including alternative splicing, based on a mapping of the EST consensus sequences from GeneNest to the complete human genome. The integration of SYSTERS, GeneNest and SpliceNest into one framework now permits an overall exploration of the whole sequence space covering protein, mRNA and EST sequences, as well as genomic DNA. The databases are available for querying and browsing at http://cmb.molgen.mpg.de.

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Language(s): eng - English
 Dates: 2002-01
 Publication Status: Published in print
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 Identifiers: eDoc: 28976
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Title: Nucleic Acids Research
Source Genre: Journal
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Pages: - Volume / Issue: 30 (1) Sequence Number: - Start / End Page: 299 - 300 Identifier: -