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YeastWeb: a workset-centric web resource for gene family analysis in yeast
BACKGROUND: Currently, a number of yeast genomes with different physiological features have been sequenced and annotated, which provides invaluable information to investigate yeast genetics, evolutionary mechanism, structure and function of gene families. DESCRIPTION: YeastWeb is a novel database cr...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996957/ https://www.ncbi.nlm.nih.gov/pubmed/20624324 http://dx.doi.org/10.1186/1471-2164-11-429 |
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author | Chu, Yanhui Yuan, Xiaohuan Guo, Yanqin Zhang, Yufei Wu, Yan Liu, Haifeng Wu, Dan Bao, Haihua Guan, Lixin Jin, Xiudong |
author_facet | Chu, Yanhui Yuan, Xiaohuan Guo, Yanqin Zhang, Yufei Wu, Yan Liu, Haifeng Wu, Dan Bao, Haihua Guan, Lixin Jin, Xiudong |
author_sort | Chu, Yanhui |
collection | PubMed |
description | BACKGROUND: Currently, a number of yeast genomes with different physiological features have been sequenced and annotated, which provides invaluable information to investigate yeast genetics, evolutionary mechanism, structure and function of gene families. DESCRIPTION: YeastWeb is a novel database created to provide access to gene families derived from the available yeast genomes by assigning the genes into putative families. It has many useful features that complement existing databases, such as SGD, CYGD and Génolevures: 1) Detailed computational annotation was conducted with each entry with InterProScan, EMBOSS and functional/pathway databases, such as GO, COG and KEGG; 2) A well established user-friendly environment was created to allow users to retrieve the annotated genes and gene families using functional classification browser, keyword search or similarity-based search; 3) Workset offers users many powerful functions to manage the retrieved data efficiently, associate the individual items easily and save the intermediate results conveniently; 4) A series of comparative genomics and molecular evolution analysis tools are neatly implemented to allow users to view multiple sequence alignments and phylogenetic tree of gene families. At present, YeastWeb holds the gene families clustered from various MCL inflation values from a total of 13 available yeast genomes. CONCLUSIONS: Given the great interest in yeast research, YeastWeb has the potential to become a useful resource for the scientific community of yeast biologists and related researchers investigating the evolutionary relationship of yeast gene families. YeastWeb is available at http://centre.bioinformatics.zj.cn/Yeast/. |
format | Text |
id | pubmed-2996957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29969572010-12-07 YeastWeb: a workset-centric web resource for gene family analysis in yeast Chu, Yanhui Yuan, Xiaohuan Guo, Yanqin Zhang, Yufei Wu, Yan Liu, Haifeng Wu, Dan Bao, Haihua Guan, Lixin Jin, Xiudong BMC Genomics Database BACKGROUND: Currently, a number of yeast genomes with different physiological features have been sequenced and annotated, which provides invaluable information to investigate yeast genetics, evolutionary mechanism, structure and function of gene families. DESCRIPTION: YeastWeb is a novel database created to provide access to gene families derived from the available yeast genomes by assigning the genes into putative families. It has many useful features that complement existing databases, such as SGD, CYGD and Génolevures: 1) Detailed computational annotation was conducted with each entry with InterProScan, EMBOSS and functional/pathway databases, such as GO, COG and KEGG; 2) A well established user-friendly environment was created to allow users to retrieve the annotated genes and gene families using functional classification browser, keyword search or similarity-based search; 3) Workset offers users many powerful functions to manage the retrieved data efficiently, associate the individual items easily and save the intermediate results conveniently; 4) A series of comparative genomics and molecular evolution analysis tools are neatly implemented to allow users to view multiple sequence alignments and phylogenetic tree of gene families. At present, YeastWeb holds the gene families clustered from various MCL inflation values from a total of 13 available yeast genomes. CONCLUSIONS: Given the great interest in yeast research, YeastWeb has the potential to become a useful resource for the scientific community of yeast biologists and related researchers investigating the evolutionary relationship of yeast gene families. YeastWeb is available at http://centre.bioinformatics.zj.cn/Yeast/. BioMed Central 2010-07-13 /pmc/articles/PMC2996957/ /pubmed/20624324 http://dx.doi.org/10.1186/1471-2164-11-429 Text en Copyright ©2010 Chu 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 Chu, Yanhui Yuan, Xiaohuan Guo, Yanqin Zhang, Yufei Wu, Yan Liu, Haifeng Wu, Dan Bao, Haihua Guan, Lixin Jin, Xiudong YeastWeb: a workset-centric web resource for gene family analysis in yeast |
title | YeastWeb: a workset-centric web resource for gene family analysis in yeast |
title_full | YeastWeb: a workset-centric web resource for gene family analysis in yeast |
title_fullStr | YeastWeb: a workset-centric web resource for gene family analysis in yeast |
title_full_unstemmed | YeastWeb: a workset-centric web resource for gene family analysis in yeast |
title_short | YeastWeb: a workset-centric web resource for gene family analysis in yeast |
title_sort | yeastweb: a workset-centric web resource for gene family analysis in yeast |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996957/ https://www.ncbi.nlm.nih.gov/pubmed/20624324 http://dx.doi.org/10.1186/1471-2164-11-429 |
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