Mount Sinai Health System

Data Analysis and Software Development in Big Data Biomedicine (Spring 2020)

This 1-credit course covers data analysis methodologies applied to the processing of data in the broad fields of Bioinformatics, Systems Biology, and Medical Informatics. Topics will provide an overview of relevant theoretical and practical concepts and methods. Methods will be applied to practical examples including analysis of RNA-seq, ChIP-seq, DNA-seq, proteomics, imaging and electronic medical records. Students will be required to complete small programming assignments throughout the course, and present a final project applying concepts covered throughout the course.

This course is for enrolled ISMMS students who have registered with the Graduate School of Biomedical Sciences.

Tuesday, March 24, 2020 at 3:45pm to 5:15pm

Icahn School of Medicine at Mount Sinai, Annenberg Building, 19th Floor, Conference Room 19-79
One Gustave L. Levy Place New York, NY 10029-6574

Event Type

Academic, Lecture/Seminar




Icahn School of Medicine at Mount Sinai


Graduate Education


Mount Sinai Center for Bioinformatics


big data, bioinformatics, biomedical science, BD2K-LINCS DCIC, MSCB, data analysis, data science




Graduate School Course Catalog


Course Director:

Avi Ma'ayan PhD
Professor, Department of Pharmacological Sciences
Director, Mount Sinai Center for Bioinformatics