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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...

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Autores principales: 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
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
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.
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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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