Skip to main content
Bayesian Computational Statistics and Modeling
BAYESCOMP
Bayesian Computational Statistics and Modeling
Main navigation
Home
People
All Profiles
Principal Investigators
Research Scientists
Postdoctoral Fellows
Students
Alumni
Former Members
Events
All Events
Events Calendar
News
About
Research
Software
Contact Us
DNA sequencing
Towards Accurate Biomedical Genomics Anywhere Anytime - Graduate Seminar
Xin Gao, Professor, Computer Science
Feb 17, 12:00
-
13:00
B9 L2 H1 R2322
biomedicine
DNA sequencing
Abstract Current genetic diagnosis by next-generation sequencing requires a large investment of resources and offers little point-of-care portability. Furthermore, it is unable to detect many types of genetic variations - including large deletions, duplications, and balanced translocations - that are relevant to human diseases and health. Comparing to other sequencing technologies, Nanopore sequencing owns the advantages of point-of-care (i.e., sequencing anywhere anytime), long reads (i.e., assembly-free to detect various genetic variations), and PCR free (i.e., sample preparation is easy)