BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T183000Z
DTEND:20121115T190000Z
LOCATION:155-B
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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.=0A=0AA 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.
SUMMARY:Acceleration of ncRNA Discovery via Reconfigurable Computing Platforms
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T183000Z
DTEND:20121115T190000Z
LOCATION:155-B
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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.=0A=0AA 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.
SUMMARY:Acceleration of ncRNA Discovery via Reconfigurable Computing Platforms
PRIORITY:3
END:VEVENT
END:VCALENDAR