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BMCBI
2005
121views more  BMCBI 2005»
13 years 5 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
BMCBI
2004
144views more  BMCBI 2004»
13 years 4 months ago
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
Background: The function of a novel gene product is typically predicted by transitive assignment of annotation from similar sequences. We describe a novel method, GOtcha, for pred...
David M. A. Martin, Matthew Berriman, Geoffrey J. ...
BMCBI
2006
122views more  BMCBI 2006»
13 years 5 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
BMCBI
2008
146views more  BMCBI 2008»
13 years 5 months ago
ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
Background: Gene Ontology (GO) annotation, which describes the function of genes and gene products across species, has recently been used to predict protein subcellular and subnuc...
Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shiow-F...
ICPR
2008
IEEE
13 years 11 months ago
Gene function prediction using protein domain probability and hierarchical Gene Ontology information
The Gene Ontology (GO) is a controlled vocabulary of terms to describe protein functions. It also includes a hierarchical description of the relationships among the terms in the f...
Jaehee Jung, Michael R. Thon