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.

PANTHER functional Analysis Use Case

The PANTHER database (Protein ANalysis THrough Evolutionary Relationships) contains comprehensive information on the evolution and function of protein-coding genes from 104 completely sequenced genomes1. PANTHER software tools allow users to classify new protein sequences, and to analyze gene lists obtained from large-scale genomics experiments2. Click here for more details about the PANTHER tools.

A more streamlined workflow has been built within the BDDS framework to analyze large-scale genomic data, especially GWAS and other genotype data. The outline of the workflow is summarized below.


  1. Mi. H, et. al. (2017) PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements. Nucleic Acids Res 45 (D1): D183-D189.
  2. Mi H., et. al. (2013) Large-scale gene function analysis with the PANTHER classification system. Nature Protocols 8, 1551–1566.