An integrated comprehensive workbench for inferring genetic networks: voyagene.
We propose an integrated, comprehensive network-inferring system for genetic interactions, named VoyaGene, which can analyze experimentally observed expression profiles by using and combining the following five independent inferring models: Clustering, Threshold-Test, Bayesian, multi-level digraph and S-system models. Since VoyaGene also has effective tools for visualizing the inferred results, researchers may evaluate the combination of appropriate inferring models, and can construct a genetic network to an accuracy that is beyond the reach of a single inferring model. Through the use of VoyaGene, the present study demonstrates the effectiveness of combining different inferring models.
Maki
Yukihiro
Y
Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 6-10-1, Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan. maki@brs.kyushu-u.ac.jp
Takahashi
Yoriko
Y
Arikawa
Yuji
Y
Watanabe
Shoji
S
Aoshima
Ken
K
Eguchi
Yukihiro
Y
Ueda
Takanori
T
Aburatani
Sachiyo
S
Kuhara
Satoru
S
Okamoto
Masahiro
M
D000465:Algorithms; D001499:Bayes Theorem; D003196:Computer Graphics; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000502:physiology*; D008957:Models, Genetic; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface