SCHEDULE: NOV 10-16, 2012
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Acceleration of ncRNA Discovery via Reconfigurable Computing Platforms
SESSION: Heterogeneous Computing II
EVENT TYPE: Exhibitor Forums
TIME: 11:30AM - 12:00PM
Presenter(s):Nathaniel McVicar
ROOM:155-B
ABSTRACT:
Non-coding RNAs (ncRNAs) are biologically important RNAs transcribed from portions of DNA that do not code for proteins. Instead, ncRNAs directly interact with the body's metabolic processes. Finding and understanding ncRNAs may reveal important answers for human biology, species evolution, and other fields. Unlike coding regions, many of an ncRNA's bases have purely structural rolls where the requirement for a specific structure is that certain sequence positions be complementary. This makes the identification of ncRNAs more computationally intensive than finding proteins.
A team at the University of Washington, in collaboration with Pico Computing, is developing an FPGA-based system for detecting ncRNAs. By leveraging the massive fine-grained parallelism inside FPGAs, along with system design innovations, our system will improve performance by up to two orders of magnitude. In this talk we will present our current status, demonstrate advances made so far, and discuss how reconfigurable computing helps enable genomics applications.
Chair/Presenter Details:
Nathaniel McVicar - University of Washington
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Acceleration of ncRNA Discovery via Reconfigurable Computing Platforms
SESSION: Heterogeneous Computing II
EVENT TYPE:
TIME: 11:30AM - 12:00PM
Presenter(s):Nathaniel McVicar
ROOM:155-B
ABSTRACT:
Non-coding RNAs (ncRNAs) are biologically important RNAs transcribed from portions of DNA that do not code for proteins. Instead, ncRNAs directly interact with the body's metabolic processes. Finding and understanding ncRNAs may reveal important answers for human biology, species evolution, and other fields. Unlike coding regions, many of an ncRNA's bases have purely structural rolls where the requirement for a specific structure is that certain sequence positions be complementary. This makes the identification of ncRNAs more computationally intensive than finding proteins.
A team at the University of Washington, in collaboration with Pico Computing, is developing an FPGA-based system for detecting ncRNAs. By leveraging the massive fine-grained parallelism inside FPGAs, along with system design innovations, our system will improve performance by up to two orders of magnitude. In this talk we will present our current status, demonstrate advances made so far, and discuss how reconfigurable computing helps enable genomics applications.
Chair/Presenter Details:
Nathaniel McVicar - University of Washington
Click here to download .ics calendar file