* A regularly updated repository of hundreds of computational analysis modules that support data preprocessing, gene expression analysis, proteomics, single nucleotide polymorphism (SNP) analysis, flow cytometry, and short-read sequencing.
* A programmatic interface that makes analysis modules available to computational biologists and developers from Python, Java, MATLAB, and R.
* The GenePattern Notebook Environment: Built on the Jupyter Notebook environment, GenePattern Notebook allows researchers to run GenePattern analyses within notebooks that interleave text, graphics, and executable code, creating a single "research narrative."
* GParc: Repository and community for GenePattern users to share and discuss their own GenePattern modules