Abstract:
:A novel program suite was implemented for the functional interpretation of high-throughput gene expression data based on the identification of Gene Ontology (GO) nodes. The focus of the analysis lies on the interpretation of microarray data from prokaryotes. The three well established statistical methods of the threshold value-based Fisher's exact test, as well as the threshold value-independent Kolmogorov-Smirnov and Student's t-test were employed in order to identify the groups of genes with a significantly altered expression profile. Furthermore, we provide the application of the rank-based unpaired Wilcoxon's test for a GO-based microarray data interpretation. Further features of the program include recognition of the alternative gene names and the correction for multiple testing. Obtained results are visualized interactively both as a table and as a GO subgraph including all significant nodes. Currently, JProGO enables the analysis of microarray data from more than 20 different prokaryotic species, including all important model organisms, and thus constitutes a useful web service for the microbial research community. JProGO is freely accessible via the web at the following address: http://www.jprogo.de.
journal_name
Nucleic Acids Resjournal_title
Nucleic acids researchauthors
Scheer M,Klawonn F,Münch R,Grote A,Hiller K,Choi C,Koch I,Schobert M,Härtig E,Klages U,Jahn Ddoi
10.1093/nar/gkl329subject
Has Abstractpub_date
2006-07-01 00:00:00pages
W510-5issue
Web Server issueeissn
0305-1048issn
1362-4962pii
34/suppl_2/W510journal_volume
34pub_type
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