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The Pfam protein families database
Pfam is a comprehensive collection of protein domains and families, represented as multiple sequence alignments and as profile hidden Markov models. The current release of Pfam (22.0) contains 9318 protein families. Pfam is now based not only on the UniProtKB sequence database, but also on NCBI GenP...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238907/ https://www.ncbi.nlm.nih.gov/pubmed/18039703 http://dx.doi.org/10.1093/nar/gkm960 |
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author | Finn, Robert D. Tate, John Mistry, Jaina Coggill, Penny C. Sammut, Stephen John Hotz, Hans-Rudolf Ceric, Goran Forslund, Kristoffer Eddy, Sean R. Sonnhammer, Erik L. L. Bateman, Alex |
author_facet | Finn, Robert D. Tate, John Mistry, Jaina Coggill, Penny C. Sammut, Stephen John Hotz, Hans-Rudolf Ceric, Goran Forslund, Kristoffer Eddy, Sean R. Sonnhammer, Erik L. L. Bateman, Alex |
author_sort | Finn, Robert D. |
collection | PubMed |
description | Pfam is a comprehensive collection of protein domains and families, represented as multiple sequence alignments and as profile hidden Markov models. The current release of Pfam (22.0) contains 9318 protein families. Pfam is now based not only on the UniProtKB sequence database, but also on NCBI GenPept and on sequences from selected metagenomics projects. Pfam is available on the web from the consortium members using a new, consistent and improved website design in the UK (http://pfam.sanger.ac.uk/), the USA (http://pfam.janelia.org/) and Sweden (http://pfam.sbc.su.se/), as well as from mirror sites in France (http://pfam.jouy.inra.fr/) and South Korea (http://pfam.ccbb.re.kr/). |
format | Text |
id | pubmed-2238907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-22389072008-02-12 The Pfam protein families database Finn, Robert D. Tate, John Mistry, Jaina Coggill, Penny C. Sammut, Stephen John Hotz, Hans-Rudolf Ceric, Goran Forslund, Kristoffer Eddy, Sean R. Sonnhammer, Erik L. L. Bateman, Alex Nucleic Acids Res Articles Pfam is a comprehensive collection of protein domains and families, represented as multiple sequence alignments and as profile hidden Markov models. The current release of Pfam (22.0) contains 9318 protein families. Pfam is now based not only on the UniProtKB sequence database, but also on NCBI GenPept and on sequences from selected metagenomics projects. Pfam is available on the web from the consortium members using a new, consistent and improved website design in the UK (http://pfam.sanger.ac.uk/), the USA (http://pfam.janelia.org/) and Sweden (http://pfam.sbc.su.se/), as well as from mirror sites in France (http://pfam.jouy.inra.fr/) and South Korea (http://pfam.ccbb.re.kr/). Oxford University Press 2008-01 2007-11-26 /pmc/articles/PMC2238907/ /pubmed/18039703 http://dx.doi.org/10.1093/nar/gkm960 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Finn, Robert D. Tate, John Mistry, Jaina Coggill, Penny C. Sammut, Stephen John Hotz, Hans-Rudolf Ceric, Goran Forslund, Kristoffer Eddy, Sean R. Sonnhammer, Erik L. L. Bateman, Alex The Pfam protein families database |
title | The Pfam protein families database |
title_full | The Pfam protein families database |
title_fullStr | The Pfam protein families database |
title_full_unstemmed | The Pfam protein families database |
title_short | The Pfam protein families database |
title_sort | pfam protein families database |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238907/ https://www.ncbi.nlm.nih.gov/pubmed/18039703 http://dx.doi.org/10.1093/nar/gkm960 |
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