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BMCBI
2006
122views more  BMCBI 2006»
13 years 4 months ago
Genome comparison using Gene Ontology (GO) with statistical testing
Background: Automated comparison of complete sets of genes encoded in two genomes can provide insight on the genetic basis of differences in biological traits between species. Gen...
Zhaotao Cai, Xizeng Mao, Songgang Li, Liping Wei
CSB
2004
IEEE
152views Bioinformatics» more  CSB 2004»
13 years 8 months ago
Comparative Analysis of Gene Sets in the Gene Ontology Space under the Multiple Hypothesis Testing Framework
The Gene Ontology (GO) resource can be used as a powerful tool to uncover the properties shared among, and specific to, a list of genes produced by high-throughput functional geno...
Sheng Zhong, Lu Tian, Cheng Li, Kai-Florian Storch...
BMCBI
2006
156views more  BMCBI 2006»
13 years 4 months ago
GOFFA: Gene Ontology For Functional Analysis - A FDA Gene Ontology Tool for Analysis of Genomic and Proteomic Data
Background: Gene Ontology (GO) characterizes and categorizes the functions of genes and their products according to biological processes, molecular functions and cellular componen...
Hongmei Sun, Hong Fang, Tao Chen, Roger Perkins, W...
BMCBI
2010
139views more  BMCBI 2010»
13 years 4 months ago
PoGO: Prediction of Gene Ontology terms for fungal proteins
Background: Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously re...
Jaehee Jung, Gangman Yi, Serenella A. Sukno, Micha...
JBI
2008
159views Bioinformatics» more  JBI 2008»
13 years 4 months ago
SEGS: Search for enriched gene sets in microarray data
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
Igor Trajkovski, Nada Lavrac, Jakub Tolar