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Computational genomics is the application of statistical analysis
to the vast arrays of data generated by structural and functional
genomics research. Even the smallest plant genome is comprised of
over
100,000,000 base pairs of DNA. Extracting useful information from
this large amount of sequence data requires significant computational
ability and sophisticated analysis algorithms.
GOALS
- Identification and development of statistical tools necessary
for success of functional genomics.
- Provide an atmosphere of open communication between computational
and functional genomics.
- Linking internal scientific discovery with external resources.
For more information about the Computational Genomics Facility
contact Rebecca Doerge
or Lauren McIntyre.
The Genomics Database Facility is a centralized service for the
database needs of the Purdue University genomics community. The GDF
compliments the existing Core Laboratory Facility (data generation),
and provides support for informatics needs associated with large scale
projects. A microarray database service is available free of charge,
and standard information management needs that fall within the
existing capabilities of the system are available without additional
charge. Should we need additional bioinformatics tools to be
developed, we have Bioinformatics specialists (Damion Junk, Doug
Yatcilla and Rick Westerman) available for work and can be paid
according to the work delivered.
Read more details about the facility.
Purdue University genomics faculty have access to three Sun Enterprise 450E
servers (four processors each), printing services, and conference
areas. The computers are part of the Genomics Core Facility at Purdue
and are available for use without additional charge. The newest server
is two years old and the oldest is four years old. The software on
the servers include
SAS, SPlus, R, Java, and Perl.
A complete list of software is available.
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