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The National Center for Biotechnology Information's Protein Clusters Database
Rapid increases in DNA sequencing capabilities have led to a vast increase in the data generated from prokaryotic genomic studies, which has been a boon to scientists studying micro-organism evolution and to those who wish to understand the biological underpinnings of microbial systems. The NCBI Pro...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686591/ https://www.ncbi.nlm.nih.gov/pubmed/18940865 http://dx.doi.org/10.1093/nar/gkn734 |
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author | Klimke, William Agarwala, Richa Badretdin, Azat Chetvernin, Slava Ciufo, Stacy Fedorov, Boris Kiryutin, Boris O’Neill, Kathleen Resch, Wolfgang Resenchuk, Sergei Schafer, Susan Tolstoy, Igor Tatusova, Tatiana |
author_facet | Klimke, William Agarwala, Richa Badretdin, Azat Chetvernin, Slava Ciufo, Stacy Fedorov, Boris Kiryutin, Boris O’Neill, Kathleen Resch, Wolfgang Resenchuk, Sergei Schafer, Susan Tolstoy, Igor Tatusova, Tatiana |
author_sort | Klimke, William |
collection | PubMed |
description | Rapid increases in DNA sequencing capabilities have led to a vast increase in the data generated from prokaryotic genomic studies, which has been a boon to scientists studying micro-organism evolution and to those who wish to understand the biological underpinnings of microbial systems. The NCBI Protein Clusters Database (ProtClustDB) has been created to efficiently maintain and keep the deluge of data up to date. ProtClustDB contains both curated and uncurated clusters of proteins grouped by sequence similarity. The May 2008 release contains a total of 285 386 clusters derived from over 1.7 million proteins encoded by 3806 nt sequences from the RefSeq collection of complete chromosomes and plasmids from four major groups: prokaryotes, bacteriophages and the mitochondrial and chloroplast organelles. There are 7180 clusters containing 376 513 proteins with curated gene and protein functional annotation. PubMed identifiers and external cross references are collected for all clusters and provide additional information resources. A suite of web tools is available to explore more detailed information, such as multiple alignments, phylogenetic trees and genomic neighborhoods. ProtClustDB provides an efficient method to aggregate gene and protein annotation for researchers and is available at http://www.ncbi.nlm.nih.gov/sites/entrez?db=proteinclusters. |
format | Text |
id | pubmed-2686591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26865912009-05-26 The National Center for Biotechnology Information's Protein Clusters Database Klimke, William Agarwala, Richa Badretdin, Azat Chetvernin, Slava Ciufo, Stacy Fedorov, Boris Kiryutin, Boris O’Neill, Kathleen Resch, Wolfgang Resenchuk, Sergei Schafer, Susan Tolstoy, Igor Tatusova, Tatiana Nucleic Acids Res Articles Rapid increases in DNA sequencing capabilities have led to a vast increase in the data generated from prokaryotic genomic studies, which has been a boon to scientists studying micro-organism evolution and to those who wish to understand the biological underpinnings of microbial systems. The NCBI Protein Clusters Database (ProtClustDB) has been created to efficiently maintain and keep the deluge of data up to date. ProtClustDB contains both curated and uncurated clusters of proteins grouped by sequence similarity. The May 2008 release contains a total of 285 386 clusters derived from over 1.7 million proteins encoded by 3806 nt sequences from the RefSeq collection of complete chromosomes and plasmids from four major groups: prokaryotes, bacteriophages and the mitochondrial and chloroplast organelles. There are 7180 clusters containing 376 513 proteins with curated gene and protein functional annotation. PubMed identifiers and external cross references are collected for all clusters and provide additional information resources. A suite of web tools is available to explore more detailed information, such as multiple alignments, phylogenetic trees and genomic neighborhoods. ProtClustDB provides an efficient method to aggregate gene and protein annotation for researchers and is available at http://www.ncbi.nlm.nih.gov/sites/entrez?db=proteinclusters. Oxford University Press 2009-01 2008-10-21 /pmc/articles/PMC2686591/ /pubmed/18940865 http://dx.doi.org/10.1093/nar/gkn734 Text en © Published by Oxford University Press (2008) 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 Klimke, William Agarwala, Richa Badretdin, Azat Chetvernin, Slava Ciufo, Stacy Fedorov, Boris Kiryutin, Boris O’Neill, Kathleen Resch, Wolfgang Resenchuk, Sergei Schafer, Susan Tolstoy, Igor Tatusova, Tatiana The National Center for Biotechnology Information's Protein Clusters Database |
title | The National Center for Biotechnology Information's Protein Clusters Database |
title_full | The National Center for Biotechnology Information's Protein Clusters Database |
title_fullStr | The National Center for Biotechnology Information's Protein Clusters Database |
title_full_unstemmed | The National Center for Biotechnology Information's Protein Clusters Database |
title_short | The National Center for Biotechnology Information's Protein Clusters Database |
title_sort | national center for biotechnology information's protein clusters database |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686591/ https://www.ncbi.nlm.nih.gov/pubmed/18940865 http://dx.doi.org/10.1093/nar/gkn734 |
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