GAzer: gene set analyzer
Author(s) -
Sangbae Kim,
Sungjin Yang,
SeonKyu Kim,
Sang Cheol Kim,
Hyun Goo Woo,
David J. Volsky,
SeonYoung Kim,
InSun Chu
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm144
Subject(s) - permutation (music) , set (abstract data type) , gene , computer science , parametric statistics , gene nomenclature , statistic , computational biology , algorithm , data mining , genetics , biology , mathematics , statistics , programming language , physics , taxonomy (biology) , botany , acoustics , nomenclature
Gene Set Analyzer (GAzer) is a web-based integrated gene set analysis tool covering previously reported parametric and non-parametric models. Based on a simulation test for the reported algorithms, we classified and implemented three main statistical methods consisting of the z-statistic, gene permutation and sample permutation for ten gene set categories including Gene Ontology (GO) for human, mouse, rat and yeast. This tool identifies significantly altered gene sets scored by z-statistics and P-values from the z-test or permutation test and provides q-values and Bonferroni P-values to correct multiple hypothesis testing. GAzer allows users to observe changes in expression of each gene in a gene set or to see the significance of the gene sets containing a gene(s) of interest, thus allowing interactive data analysis both at the gene and gene set level. Moreover, GAzer offers extensive annotation for each gene.
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