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ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes
Motivation: Many analyses in modern biological research are based on comparisons between biological sequences, resulting in functional, evolutionary and structural inferences. When large numbers of sequences are compared, heuristics are often used resulting in a certain lack of accuracy. In order to...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828119/ https://www.ncbi.nlm.nih.gov/pubmed/20089515 http://dx.doi.org/10.1093/bioinformatics/btq011 |
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author | Otto, Thomas Dan Catanho, Marcos Tristão, Cristian Bezerra, Márcia Fernandes, Renan Mathias Elias, Guilherme Steinberger Scaglia, Alexandre Capeletto Bovermann, Bill Berstis, Viktors Lifschitz, Sergio de Miranda, Antonio Basílio Degrave, Wim |
author_facet | Otto, Thomas Dan Catanho, Marcos Tristão, Cristian Bezerra, Márcia Fernandes, Renan Mathias Elias, Guilherme Steinberger Scaglia, Alexandre Capeletto Bovermann, Bill Berstis, Viktors Lifschitz, Sergio de Miranda, Antonio Basílio Degrave, Wim |
author_sort | Otto, Thomas Dan |
collection | PubMed |
description | Motivation: Many analyses in modern biological research are based on comparisons between biological sequences, resulting in functional, evolutionary and structural inferences. When large numbers of sequences are compared, heuristics are often used resulting in a certain lack of accuracy. In order to improve and validate results of such comparisons, we have performed radical all-against-all comparisons of 4 million protein sequences belonging to the RefSeq database, using an implementation of the Smith–Waterman algorithm. This extremely intensive computational approach was made possible with the help of World Community Grid™, through the Genome Comparison Project. The resulting database, ProteinWorldDB, which contains coordinates of pairwise protein alignments and their respective scores, is now made available. Users can download, compare and analyze the results, filtered by genomes, protein functions or clusters. ProteinWorldDB is integrated with annotations derived from Swiss-Prot, Pfam, KEGG, NCBI Taxonomy database and gene ontology. The database is a unique and valuable asset, representing a major effort to create a reliable and consistent dataset of cross-comparisons of the whole protein content encoded in hundreds of completely sequenced genomes using a rigorous dynamic programming approach. Availability: The database can be accessed through http://proteinworlddb.org Contact: otto@fiocruz.br |
format | Text |
id | pubmed-2828119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28281192010-02-25 ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes Otto, Thomas Dan Catanho, Marcos Tristão, Cristian Bezerra, Márcia Fernandes, Renan Mathias Elias, Guilherme Steinberger Scaglia, Alexandre Capeletto Bovermann, Bill Berstis, Viktors Lifschitz, Sergio de Miranda, Antonio Basílio Degrave, Wim Bioinformatics Applications Note Motivation: Many analyses in modern biological research are based on comparisons between biological sequences, resulting in functional, evolutionary and structural inferences. When large numbers of sequences are compared, heuristics are often used resulting in a certain lack of accuracy. In order to improve and validate results of such comparisons, we have performed radical all-against-all comparisons of 4 million protein sequences belonging to the RefSeq database, using an implementation of the Smith–Waterman algorithm. This extremely intensive computational approach was made possible with the help of World Community Grid™, through the Genome Comparison Project. The resulting database, ProteinWorldDB, which contains coordinates of pairwise protein alignments and their respective scores, is now made available. Users can download, compare and analyze the results, filtered by genomes, protein functions or clusters. ProteinWorldDB is integrated with annotations derived from Swiss-Prot, Pfam, KEGG, NCBI Taxonomy database and gene ontology. The database is a unique and valuable asset, representing a major effort to create a reliable and consistent dataset of cross-comparisons of the whole protein content encoded in hundreds of completely sequenced genomes using a rigorous dynamic programming approach. Availability: The database can be accessed through http://proteinworlddb.org Contact: otto@fiocruz.br Oxford University Press 2010-03-01 2010-01-19 /pmc/articles/PMC2828119/ /pubmed/20089515 http://dx.doi.org/10.1093/bioinformatics/btq011 Text en © The Author(s) 2010. Published by Oxford University Press. 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/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Otto, Thomas Dan Catanho, Marcos Tristão, Cristian Bezerra, Márcia Fernandes, Renan Mathias Elias, Guilherme Steinberger Scaglia, Alexandre Capeletto Bovermann, Bill Berstis, Viktors Lifschitz, Sergio de Miranda, Antonio Basílio Degrave, Wim ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes |
title | ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes |
title_full | ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes |
title_fullStr | ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes |
title_full_unstemmed | ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes |
title_short | ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes |
title_sort | proteinworlddb: querying radical pairwise alignments among protein sets from complete genomes |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828119/ https://www.ncbi.nlm.nih.gov/pubmed/20089515 http://dx.doi.org/10.1093/bioinformatics/btq011 |
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