Mining Big Data in NeuroGenetics to Understand Muscular Dystrophy

author: Andy Berglund, Center for NeuroGenetics, University of Florida
published: Oct. 9, 2017,   recorded: August 2017,   views: 889

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


The recent advances in genome sequencing and analyses of the billions of base pairs in genomic data have been a boon for moving forward our understanding of human disease. In this talk I will describe how genome sequencing has dramatically improved our understanding of the most common adult form of muscular dystrophy, which is myotonic dystrophy. Two different genetic mutations cause thousands of changes in the cells and tissues of myotonic dystrophy patients. Genome sequencing has allowed us to precisely determine the degree of changes across patients, correlate these changes to disease symptoms and allow us to determine quickly in cell and animal models the effectiveness of therapeutic strategies for myotonic dystrophy.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: