The PhenoGen Informatics website: tools for analyses of complex traits
<p>Abstract</p> <p>Background</p> <p>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...
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2007-08-01
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| Series: | BMC Genetics |
| Online Access: | http://www.biomedcentral.com/1471-2156/8/59 |
| _version_ | 1818547644207726592 |
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| author | Jones Kendra Ellington Eric Ellington Allison Soriano Brian Leach Sonia Dolbey Andrew McGoldrick Daniel Gaydos Jeanette Kechris Katherina Lapadat Razvan Saba Laura Phang Tzu L Hornbaker Cheryl Bhave Sanjiv V Mangion Jonathan Belknap John K Williams Robert W Hunter Lawrence E Hoffman Paula L Tabakoff Boris |
| author_facet | Jones Kendra Ellington Eric Ellington Allison Soriano Brian Leach Sonia Dolbey Andrew McGoldrick Daniel Gaydos Jeanette Kechris Katherina Lapadat Razvan Saba Laura Phang Tzu L Hornbaker Cheryl Bhave Sanjiv V Mangion Jonathan Belknap John K Williams Robert W Hunter Lawrence E Hoffman Paula L Tabakoff Boris |
| author_sort | Jones Kendra |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Description</p> <p>The PhenoGen Informatics website <url>http://phenogen.uchsc.edu</url> 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 "<it>in-silico</it>" microarray experiments using their own and/or "shared" data.</p> <p>Conclusion</p> <p>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.</p> |
| first_indexed | 2024-12-12T08:09:29Z |
| format | Article |
| id | doaj.art-b3d8b1887df74a4a8fe9d0da473c9fdd |
| institution | Directory Open Access Journal |
| issn | 1471-2156 |
| language | English |
| last_indexed | 2024-12-12T08:09:29Z |
| publishDate | 2007-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genetics |
| spelling | doaj.art-b3d8b1887df74a4a8fe9d0da473c9fdd2022-12-22T00:31:50ZengBMCBMC Genetics1471-21562007-08-01815910.1186/1471-2156-8-59The PhenoGen Informatics website: tools for analyses of complex traitsJones KendraEllington EricEllington AllisonSoriano BrianLeach SoniaDolbey AndrewMcGoldrick DanielGaydos JeanetteKechris KatherinaLapadat RazvanSaba LauraPhang Tzu LHornbaker CherylBhave Sanjiv VMangion JonathanBelknap John KWilliams Robert WHunter Lawrence EHoffman Paula LTabakoff Boris<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Description</p> <p>The PhenoGen Informatics website <url>http://phenogen.uchsc.edu</url> 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 "<it>in-silico</it>" microarray experiments using their own and/or "shared" data.</p> <p>Conclusion</p> <p>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.</p>http://www.biomedcentral.com/1471-2156/8/59 |
| spellingShingle | Jones Kendra Ellington Eric Ellington Allison Soriano Brian Leach Sonia Dolbey Andrew McGoldrick Daniel Gaydos Jeanette Kechris Katherina Lapadat Razvan Saba Laura Phang Tzu L Hornbaker Cheryl Bhave Sanjiv V 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 BMC Genetics |
| 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 |
| url | http://www.biomedcentral.com/1471-2156/8/59 |
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