Look Who it Was Random video

Demystifying Biomedical Big Data: A User’s Guide | GeorgetownX on edX | Course About Video

903 views · Published 7 February 2017 · 2:46 · Indexed 31 October 2026

Channel: edX · 2017 · Education

Watch on YouTube

Whether you are a student, basic scientist, researcher, clinician, or librarian, this course is designed to help you understand, analyze, and interpret biomedical big data.

Take this course free on edX: https://www.edx.org/course/demystifying-biomedical-big-data-users-georgetownx-biox-201-01x#!

ABOUT THIS COURSE
With the continuous generation of massive amounts of biomedical data on a daily basis, whether from research laboratories or clinical labs, we need to improve our ability to understand and analyze the data in order to take full advantage of its power in scientific discoveries and patient care. For non-bioinformaticians, “handling” big data remains a daunting task. This course was designed to facilitate the understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics. The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos. You will learn how to use publicly available online resources and tools for genomic, transcriptomic, and proteomic data analysis, as well as other analytic tools and online resources. This course is funded by a research grant from the US National Institutes of Health (NIH)-Big Data to Knowledge (BD2K) Initiative.

WHAT YOU'LL LEARN
Understand how biomedical data are being generated and processed
Learn about various biomedical big data resources (e.g. TCGA, G-DOC, UNIPROT, etc.)
Explore and analyze genomic, transcriptomic, and  proteomic data using various online analysis tools
Make sense of big data using systems biology resources and tools
Appreciate the value of big data in biomedical research and clinical practice (e.g. enabling precision medicine)

More from this channel