In recently years, high-throughput experimental techniques such as microarray and mass spectrometry can identify many lists of genes and gene products. The most widely used strategy for high-throughput data analysis is to identify different gene clusters based on their expression profiles. Another commonly used approach is to annotate these genes ... [Read more...]

Gene Ontology is the de facto standard for annotation of gene products. It has been widely used in biological data mining, and I believe it will play more central role in the future. Publications mentioning GO was collected and deposited in GO ftp, and can be accessed (ftp://ftp.geneontology.... [Read more...]

hyperGTest compute Hypergeomtric p-values for over or under-representation of each GO term in the specified category among the specified gene set. *geneSample* was used as an example. Read More: 1329 Words Totally [Read more...]

It is very common to cluster genes based on their expression profiles, and also very common to integrate Gene Ontology to observe the distribution of biological processes, molecular functions and cellular components for a given gene list. But, what if the two in combination? The Gene Ontology distributions across a ... [Read more...]