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OrthoClusterDB: an online platform for synteny blocks
BACKGROUND: The recent availability of an expanding collection of genome sequences driven by technological advances has facilitated comparative genomics and in particular the identification of synteny among multiple genomes. However, the development of effective and easy-to-use methods for identifyi...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711082/ https://www.ncbi.nlm.nih.gov/pubmed/19549318 http://dx.doi.org/10.1186/1471-2105-10-192 |
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author | Ng, Man-Ping Vergara, Ismael A Frech, Christian Chen, Qingkang Zeng, Xinghuo Pei, Jian Chen, Nansheng |
author_facet | Ng, Man-Ping Vergara, Ismael A Frech, Christian Chen, Qingkang Zeng, Xinghuo Pei, Jian Chen, Nansheng |
author_sort | Ng, Man-Ping |
collection | PubMed |
description | BACKGROUND: The recent availability of an expanding collection of genome sequences driven by technological advances has facilitated comparative genomics and in particular the identification of synteny among multiple genomes. However, the development of effective and easy-to-use methods for identifying such conserved gene clusters among multiple genomes–synteny blocks–as well as databases, which host synteny blocks from various groups of species (especially eukaryotes) and also allow users to run synteny-identification programs, lags behind. DESCRIPTIONS: OrthoClusterDB is a new online platform for the identification and visualization of synteny blocks. OrthoClusterDB consists of two key web pages: Run OrthoCluster and View Synteny. The Run OrthoCluster page serves as web front-end to OrthoCluster, a recently developed program for synteny block detection. Run OrthoCluster offers full control over the functionalities of OrthoCluster, such as specifying synteny block size, considering order and strandedness of genes within synteny blocks, including or excluding nested synteny blocks, handling one-to-many orthologous relationships, and comparing multiple genomes. In contrast, the View Synteny page gives access to perfect and imperfect synteny blocks precomputed for a large number of genomes, without the need for users to retrieve and format input data. Additionally, genes are cross-linked with public databases for effective browsing. For both Run OrthoCluster and View Synteny, identified synteny blocks can be browsed at the whole genome, chromosome, and individual gene level. OrthoClusterDB is freely accessible. CONCLUSION: We have developed an online system for the identification and visualization of synteny blocks among multiple genomes. The system is freely available at . |
format | Text |
id | pubmed-2711082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27110822009-07-16 OrthoClusterDB: an online platform for synteny blocks Ng, Man-Ping Vergara, Ismael A Frech, Christian Chen, Qingkang Zeng, Xinghuo Pei, Jian Chen, Nansheng BMC Bioinformatics Database BACKGROUND: The recent availability of an expanding collection of genome sequences driven by technological advances has facilitated comparative genomics and in particular the identification of synteny among multiple genomes. However, the development of effective and easy-to-use methods for identifying such conserved gene clusters among multiple genomes–synteny blocks–as well as databases, which host synteny blocks from various groups of species (especially eukaryotes) and also allow users to run synteny-identification programs, lags behind. DESCRIPTIONS: OrthoClusterDB is a new online platform for the identification and visualization of synteny blocks. OrthoClusterDB consists of two key web pages: Run OrthoCluster and View Synteny. The Run OrthoCluster page serves as web front-end to OrthoCluster, a recently developed program for synteny block detection. Run OrthoCluster offers full control over the functionalities of OrthoCluster, such as specifying synteny block size, considering order and strandedness of genes within synteny blocks, including or excluding nested synteny blocks, handling one-to-many orthologous relationships, and comparing multiple genomes. In contrast, the View Synteny page gives access to perfect and imperfect synteny blocks precomputed for a large number of genomes, without the need for users to retrieve and format input data. Additionally, genes are cross-linked with public databases for effective browsing. For both Run OrthoCluster and View Synteny, identified synteny blocks can be browsed at the whole genome, chromosome, and individual gene level. OrthoClusterDB is freely accessible. CONCLUSION: We have developed an online system for the identification and visualization of synteny blocks among multiple genomes. The system is freely available at . BioMed Central 2009-06-23 /pmc/articles/PMC2711082/ /pubmed/19549318 http://dx.doi.org/10.1186/1471-2105-10-192 Text en Copyright © 2009 Ng et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Ng, Man-Ping Vergara, Ismael A Frech, Christian Chen, Qingkang Zeng, Xinghuo Pei, Jian Chen, Nansheng OrthoClusterDB: an online platform for synteny blocks |
title | OrthoClusterDB: an online platform for synteny blocks |
title_full | OrthoClusterDB: an online platform for synteny blocks |
title_fullStr | OrthoClusterDB: an online platform for synteny blocks |
title_full_unstemmed | OrthoClusterDB: an online platform for synteny blocks |
title_short | OrthoClusterDB: an online platform for synteny blocks |
title_sort | orthoclusterdb: an online platform for synteny blocks |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711082/ https://www.ncbi.nlm.nih.gov/pubmed/19549318 http://dx.doi.org/10.1186/1471-2105-10-192 |
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