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 tools are needed to store, integrate and analyze the data efficiently.


METHODS
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.


CONCLUSIONS
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.
Bhave
Sanjiv V
SV
Department of Pharmacology, University of Colorado at Denver and Health Sciences Center, Aurora, CO 80045, USA. sanjiv.bhave@uchsc.edu
Hornbaker
Cheryl
C
Phang
Tzu L
TL
Saba
Laura
L
Lapadat
Razvan
R
Kechris
Katherina
K
Gaydos
Jeanette
J
McGoldrick
Daniel
D
Dolbey
Andrew
A
Leach
Sonia
S
Soriano
Brian
B
Ellington
Allison
A
Ellington
Eric
E
Jones
Kendra
K
Mangion
Jonathan
J
Belknap
John K
JK
Williams
Robert W
RW
Hunter
Lawrence E
LE
Hoffman
Paula L
PL
Tabakoff
Boris
B
D003628:Database Management Systems; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D023281:Genomics; D020407:Internet; D040641:Quantitative Trait Loci