The Big Data for Discovery Science Center (BDDS) - comprised of leading experts in biomedical imaging, genetics, proteomics, and computer science - is taking an "-ome to home" approach toward streamlining big data management, aggregation, manipulation, integration, and the modeling of biological systems across spatial and temporal scales.
Under Development

PANTHER Overrepresentation Test

The PANTHER (protein annotation through evolutionary relationship) classification system ( is a comprehensive system that combines gene function, ontology, pathways and statistical analysis tools that enable biologists to analyze large-scale, genome-wide data from sequencing, proteomics or gene expression experiments. The system is built with 104 complete genomes organized into gene families and subfamilies, and their evolutionary relationships are captured in phylogenetic trees, multiple sequence alignments and statistical models (hidden Markov models or HMMs). Genes are classified according to their function in several different ways: families and subfamilies are annotated with ontology terms (Gene Ontology (GO) and PANTHER protein class), and sequences are assigned to PANTHER pathways.

The PANTHER overrepresentation test tool enables users to analyze large-scale genome-wide experimental data against the current annotated gene set data, including Gene Ontology and PANTHER Pathway. It is one of the most widely used online tools used by bench scientists, bioinformaticians, computer scientists and systems biologists. The tool compares a test gene list to a reference gene list, and determines whether a particular class (e.g. molecular function, biological process, cellular component, PANTHER protein class or the PANTHER pathway) of genes is overrepresented or underrepresented. A more detailed description of the algorithm is available here. This tool can be accessed via web-service call. Support for VCF file format is available from here.

Click here to view details about PANTHER webservices to support BDDS workflows.