The PhenoGen Informatics website: tools for analyses of complex traits
| Autor: | Razvan Lapadat, Robert W. Williams, Eric Ellington, Kendra Jones, Jeanette Gaydos, Paula L. Hoffman, Lawrence Hunter, Brian Soriano, Sonia M. Leach, Laura Saba, Cheryl K. Hornbaker, Boris Tabakoff, Allison Ellington, Sanjiv V. Bhave, Jonathan Mangion, John K. Belknap, Katherina Kechris, Daniel McGoldrick, Tzu L. Phang, Andrew Dolbey |
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| Rok vydání: | 2007 |
| Předmět: |
lcsh:QH426-470
Quantitative Trait Loci Genomics Biology Proteomics Database 03 medical and health sciences 0302 clinical medicine Phenomics Databases Genetic Genetics Genetics(clinical) Genetics (clinical) 030304 developmental biology Internet 0303 health sciences Biological data Extramural business.industry Gene Expression Profiling lcsh:Genetics ComputingMethodologies_PATTERNRECOGNITION Informatics Database Management Systems The Internet business 030217 neurology & neurosurgery |
| Zdroj: | BMC Genetics, Vol 8, Iss 1, p 59 (2007) BMC Genetics |
| ISSN: | 1471-2156 |
| DOI: | 10.1186/1471-2156-8-59 |
| Popis: | 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 http://phenogen.uchsc.edu 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. |
| Databáze: | OpenAIRE |
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