In this era of Big Data biomedicine, the Center for Bioinformatics develops analytic methods to help experimental biologists to study the increasingly diverse and complex data that are collected from human cells, tissues, and patients. Our Center builds on many of the strengths of the Icahn School of Medicine at Mount Sinai. The Medical School has strong departments in basic science research and clinical care, and we aim to strengthen between these departments.
We focus on analyzing, visualizing, and mining data from experiments that profile the molecular state of human cells and tissues by transcriptomics, epigenomics, proteomics, and metabolomics for drug discovery. We also explore how to integrate these datasets with genomics and electronic medical health records data to advance precision medicine.
Our Center is actively developing algorithms, web-based software tools, and databases. We collaborate with wet-bench experimental laboratories at Mount Sinai by performing analyses and visualizing their data using our tools and other resources. In addtiion, we develop and host courses, workshops, tutorials, webinars and seminars. Our Data Science MOOCs on the Coursera platform and our in-class courses for graduate students aim to train the next generation of computational biomedical researchers.
