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PROPHECY—a yeast phenome database, update 2006
Connecting genotype to phenotype is fundamental in biomedical research and in our understanding of disease. Phenomics—the large-scale quantitative phenotypic analysis of genotypes on a genome-wide scale—connects automated data generation with the development of novel tools for phenotype data integra...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761427/ https://www.ncbi.nlm.nih.gov/pubmed/17148481 http://dx.doi.org/10.1093/nar/gkl1029 |
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author | Fernandez-Ricaud, Luciano Warringer, Jonas Ericson, Elke Glaab, Kerstin Davidsson, Pär Nilsson, Fabian Kemp, Graham J. L. Nerman, Olle Blomberg, Anders |
author_facet | Fernandez-Ricaud, Luciano Warringer, Jonas Ericson, Elke Glaab, Kerstin Davidsson, Pär Nilsson, Fabian Kemp, Graham J. L. Nerman, Olle Blomberg, Anders |
author_sort | Fernandez-Ricaud, Luciano |
collection | PubMed |
description | Connecting genotype to phenotype is fundamental in biomedical research and in our understanding of disease. Phenomics—the large-scale quantitative phenotypic analysis of genotypes on a genome-wide scale—connects automated data generation with the development of novel tools for phenotype data integration, mining and visualization. Our yeast phenomics database PROPHECY is available at . Via phenotyping of 984 heterozygous diploids for all essential genes the genotypes analysed and presented in PROPHECY have been extended and now include all genes in the yeast genome. Further, phenotypic data from gene overexpression of 574 membrane spanning proteins has recently been included. To facilitate the interpretation of quantitative phenotypic data we have developed a new phenotype display option, the Comparative Growth Curve Display, where growth curve differences for a large number of mutants compared with the wild type are easily revealed. In addition, PROPHECY now offers a more informative and intuitive first-sight display of its phenotypic data via its new summary page. We have also extended the arsenal of data analysis tools to include dynamic visualization of phenotypes along individual chromosomes. PROPHECY is an initiative to enhance the growing field of phenome bioinformatics. |
format | Text |
id | pubmed-1761427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-17614272007-02-22 PROPHECY—a yeast phenome database, update 2006 Fernandez-Ricaud, Luciano Warringer, Jonas Ericson, Elke Glaab, Kerstin Davidsson, Pär Nilsson, Fabian Kemp, Graham J. L. Nerman, Olle Blomberg, Anders Nucleic Acids Res Articles Connecting genotype to phenotype is fundamental in biomedical research and in our understanding of disease. Phenomics—the large-scale quantitative phenotypic analysis of genotypes on a genome-wide scale—connects automated data generation with the development of novel tools for phenotype data integration, mining and visualization. Our yeast phenomics database PROPHECY is available at . Via phenotyping of 984 heterozygous diploids for all essential genes the genotypes analysed and presented in PROPHECY have been extended and now include all genes in the yeast genome. Further, phenotypic data from gene overexpression of 574 membrane spanning proteins has recently been included. To facilitate the interpretation of quantitative phenotypic data we have developed a new phenotype display option, the Comparative Growth Curve Display, where growth curve differences for a large number of mutants compared with the wild type are easily revealed. In addition, PROPHECY now offers a more informative and intuitive first-sight display of its phenotypic data via its new summary page. We have also extended the arsenal of data analysis tools to include dynamic visualization of phenotypes along individual chromosomes. PROPHECY is an initiative to enhance the growing field of phenome bioinformatics. Oxford University Press 2007-01 2006-12-05 /pmc/articles/PMC1761427/ /pubmed/17148481 http://dx.doi.org/10.1093/nar/gkl1029 Text en © 2006 The Author(s) 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 Fernandez-Ricaud, Luciano Warringer, Jonas Ericson, Elke Glaab, Kerstin Davidsson, Pär Nilsson, Fabian Kemp, Graham J. L. Nerman, Olle Blomberg, Anders PROPHECY—a yeast phenome database, update 2006 |
title | PROPHECY—a yeast phenome database, update 2006 |
title_full | PROPHECY—a yeast phenome database, update 2006 |
title_fullStr | PROPHECY—a yeast phenome database, update 2006 |
title_full_unstemmed | PROPHECY—a yeast phenome database, update 2006 |
title_short | PROPHECY—a yeast phenome database, update 2006 |
title_sort | prophecy—a yeast phenome database, update 2006 |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761427/ https://www.ncbi.nlm.nih.gov/pubmed/17148481 http://dx.doi.org/10.1093/nar/gkl1029 |
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