Gene Annotator for Microarray Analysis (GAMA) is designed to automatically compile and update biological information about genes or ESTs (such as gene locus, gene similarity, phenotype, functional group, protein domain, protein structure) from a variety of public databases (NCBI Unigene, Locuslink, Gene Ontology, Swissprot, Interpro, KEGG and PBD). GAMA aims to integrate biological information into microarray data analysis. Therefore, it not only saves users a lot of time in retrieving gene information from public databases, but also makes microarray data analysis have more biological significance. Although it is specifically designed for microarray analysis, it can be used to annotate genes for general purposes.

GAMA is developed as a collaborative project between the Bioinformatics Laboratory of Personized Medicine Research Center headed by Dr. Erwin Bottinger and Harvard-Partner Center for Genetics and Genomics (HPCGG) . The mission of the Bioinformatics Laboratory is to provide bioinformatics support to the research community of the Department of Medicine of Mount Sinai School of Medicin and promote multidisciplinary collaborations between medical research, bio-statistics and computer science. For more informtion, please contact Weijia Zhang.

TRACE

GAMA

Array CGH

SNP

Microarray