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The SYSTERS Protein Family Database in 2005
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 data...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539984/ https://www.ncbi.nlm.nih.gov/pubmed/15608183 http://dx.doi.org/10.1093/nar/gki030 |
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author | Meinel, Thomas Krause, Antje Luz, Hannes Vingron, Martin Staub, Eike |
author_facet | Meinel, Thomas Krause, Antje Luz, Hannes Vingron, Martin Staub, Eike |
author_sort | Meinel, Thomas |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-539984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-5399842005-01-04 The SYSTERS Protein Family Database in 2005 Meinel, Thomas Krause, Antje Luz, Hannes Vingron, Martin Staub, Eike Nucleic Acids Res Articles 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. Oxford University Press 2005-01-01 2004-12-17 /pmc/articles/PMC539984/ /pubmed/15608183 http://dx.doi.org/10.1093/nar/gki030 Text en Copyright © 2005 Oxford University Press |
spellingShingle | Articles Meinel, Thomas Krause, Antje Luz, Hannes Vingron, Martin Staub, Eike The SYSTERS Protein Family Database in 2005 |
title | The SYSTERS Protein Family Database in 2005 |
title_full | The SYSTERS Protein Family Database in 2005 |
title_fullStr | The SYSTERS Protein Family Database in 2005 |
title_full_unstemmed | The SYSTERS Protein Family Database in 2005 |
title_short | The SYSTERS Protein Family Database in 2005 |
title_sort | systers protein family database in 2005 |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539984/ https://www.ncbi.nlm.nih.gov/pubmed/15608183 http://dx.doi.org/10.1093/nar/gki030 |
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