Skip to main content
Extreme Statistics
XSTAT
Extreme Statistics
Main navigation
Home
People
All Profiles
Principal Investigators
Postdoctoral Fellows
Students
Alumni
Former Members
Events
All Events
Events Calendar
News
About
Contact Us
Publications
Teaching
DNA sequences
Zero in on computational challenges in Nanopore sequencing
Xin Gao, Professor, Computer Science
Sep 2, 12:00
-
13:00
B9 L2 H1
bioinformatics
machine learning
Nanopore Sequencing
DNA sequences
In this talk, I will first give an overview of the research activities in Structural and Functional Bioinformatics Group (http://sfb.kaust.edu.sa). I will then focus on our efforts on developing computational methods to tackle key open problems in Nanopore sequencing. In particular, I will introduce our recent works on developing a collection of computational methods to decode raw electrical current signal sequences into DNA sequences, to simulate raw signals of Nanopore, and to efficiently and accurately align electrical current signal sequences with DNA sequences. Then, I will further introduce their applications in clinical and environmental fields.