High-throughput methodologies have increased by orders of magnitude the possibility of obtaining data in orders of magnitude. Nevertheless, translating data into useful biological knowledge is not an easy task. We review how bioontologies, and in particular, gene ontology, can be used to understand the biological roles played by genes that account for the phenotypes studied, which is the ultimate goal of functional genomics. Statistical issues related to high-throughput methodologies, such as the high occurrence of false or spurious associations, are also discussed
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and b...
Abstract. The analysis of genome-scale data from different high throughput techniques usually involv...
Ontologies are fundamental knowledge representations that provide not only standards for annotating ...
<div><p>Computational analyses of functions of gene sets obtained in microarray analyses or by topic...
Biomedical research is increasingly a data-driven science. New technologies support the generation o...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
AbstractBiomedical research is increasingly a data-driven science. New technologies support the gene...
Gathering information using a computer has become more and more important as a component of research...
BackgroundBiomedical ontologies are increasingly instrumental in the advancement of biological resea...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and b...
Abstract. The analysis of genome-scale data from different high throughput techniques usually involv...
Ontologies are fundamental knowledge representations that provide not only standards for annotating ...
<div><p>Computational analyses of functions of gene sets obtained in microarray analyses or by topic...
Biomedical research is increasingly a data-driven science. New technologies support the generation o...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
AbstractBiomedical research is increasingly a data-driven science. New technologies support the gene...
Gathering information using a computer has become more and more important as a component of research...
BackgroundBiomedical ontologies are increasingly instrumental in the advancement of biological resea...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
In genomic and molecular biology domains, controlled vocabularies and ontologies are becoming of par...
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and b...