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The PhenoGen Informatics website: tools for analyses of complex traits
BACKGROUND: With the advent of "omics" (e.g. genomics, transcriptomics, proteomics and phenomics), studies can produce enormous amounts of data. Managing this diverse data and integrating with other biological data are major challenges for the bioinformatics community. Comprehensive new to...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2034588/ https://www.ncbi.nlm.nih.gov/pubmed/17760997 http://dx.doi.org/10.1186/1471-2156-8-59 |
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author | Bhave, Sanjiv V Hornbaker, Cheryl Phang, Tzu L Saba, Laura Lapadat, Razvan Kechris, Katherina Gaydos, Jeanette McGoldrick, Daniel Dolbey, Andrew Leach, Sonia Soriano, Brian Ellington, Allison Ellington, Eric Jones, Kendra Mangion, Jonathan Belknap, John K Williams, Robert W Hunter, Lawrence E Hoffman, Paula L Tabakoff, Boris |
author_facet | Bhave, Sanjiv V Hornbaker, Cheryl Phang, Tzu L Saba, Laura Lapadat, Razvan Kechris, Katherina Gaydos, Jeanette McGoldrick, Daniel Dolbey, Andrew Leach, Sonia Soriano, Brian Ellington, Allison Ellington, Eric Jones, Kendra Mangion, Jonathan Belknap, John K Williams, Robert W Hunter, Lawrence E Hoffman, Paula L Tabakoff, Boris |
author_sort | Bhave, Sanjiv V |
collection | PubMed |
description | BACKGROUND: With the advent of "omics" (e.g. genomics, transcriptomics, proteomics and phenomics), studies can produce enormous amounts of data. Managing this diverse data and integrating with other biological data are major challenges for the bioinformatics community. Comprehensive new tools are needed to store, integrate and analyze the data efficiently. DESCRIPTION: The PhenoGen Informatics website is a comprehensive toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data. The site is particularly suited for combining QTL and microarray data to search for "candidate" genes contributing to complex traits. In addition, the site allows, if desired by the investigators, sharing of the data. Investigators can conduct "in-silico" microarray experiments using their own and/or "shared" data. CONCLUSION: The PhenoGen website provides access to tools that can be used for high-throughput data storage, analyses and interpretation of the results. Some of the advantages of the architecture of the website are that, in the future, the present set of tools can be adapted for the analyses of any type of high-throughput "omics" data, and that access to new tools, available in the public domain or developed at PhenoGen, can be easily provided. |
format | Text |
id | pubmed-2034588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-20345882007-10-19 The PhenoGen Informatics website: tools for analyses of complex traits Bhave, Sanjiv V Hornbaker, Cheryl Phang, Tzu L Saba, Laura Lapadat, Razvan Kechris, Katherina Gaydos, Jeanette McGoldrick, Daniel Dolbey, Andrew Leach, Sonia Soriano, Brian Ellington, Allison Ellington, Eric Jones, Kendra Mangion, Jonathan Belknap, John K Williams, Robert W Hunter, Lawrence E Hoffman, Paula L Tabakoff, Boris BMC Genet Database BACKGROUND: With the advent of "omics" (e.g. genomics, transcriptomics, proteomics and phenomics), studies can produce enormous amounts of data. Managing this diverse data and integrating with other biological data are major challenges for the bioinformatics community. Comprehensive new tools are needed to store, integrate and analyze the data efficiently. DESCRIPTION: The PhenoGen Informatics website is a comprehensive toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data. The site is particularly suited for combining QTL and microarray data to search for "candidate" genes contributing to complex traits. In addition, the site allows, if desired by the investigators, sharing of the data. Investigators can conduct "in-silico" microarray experiments using their own and/or "shared" data. CONCLUSION: The PhenoGen website provides access to tools that can be used for high-throughput data storage, analyses and interpretation of the results. Some of the advantages of the architecture of the website are that, in the future, the present set of tools can be adapted for the analyses of any type of high-throughput "omics" data, and that access to new tools, available in the public domain or developed at PhenoGen, can be easily provided. BioMed Central 2007-08-30 /pmc/articles/PMC2034588/ /pubmed/17760997 http://dx.doi.org/10.1186/1471-2156-8-59 Text en Copyright © 2007 Bhave 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 Bhave, Sanjiv V Hornbaker, Cheryl Phang, Tzu L Saba, Laura Lapadat, Razvan Kechris, Katherina Gaydos, Jeanette McGoldrick, Daniel Dolbey, Andrew Leach, Sonia Soriano, Brian Ellington, Allison Ellington, Eric Jones, Kendra Mangion, Jonathan Belknap, John K Williams, Robert W Hunter, Lawrence E Hoffman, Paula L Tabakoff, Boris The PhenoGen Informatics website: tools for analyses of complex traits |
title | The PhenoGen Informatics website: tools for analyses of complex traits |
title_full | The PhenoGen Informatics website: tools for analyses of complex traits |
title_fullStr | The PhenoGen Informatics website: tools for analyses of complex traits |
title_full_unstemmed | The PhenoGen Informatics website: tools for analyses of complex traits |
title_short | The PhenoGen Informatics website: tools for analyses of complex traits |
title_sort | phenogen informatics website: tools for analyses of complex traits |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2034588/ https://www.ncbi.nlm.nih.gov/pubmed/17760997 http://dx.doi.org/10.1186/1471-2156-8-59 |
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