[IEEE-bhpjobs] Computational Biology Seminar, Mon Feb 6th

[Walter Heger]

Mon Feb 6, 11am, Schiciano Auditorium B in the Fitzpatrick Center
(FCIEMAS).

Jane Richardson, Dept of Biochemistry, Duke University

Structural Bioinformatics - Refining the Ore for Your Data Mining

Data quality is an issue for many kinds of bioinformatics.
Although experimentally-determined 3D structures are among the most
reliable data, they are far from perfect.  The errors are often
systematic not random, and can definitely affect functional or
comparative conclusions.  Our lab has developed a suite of methods to
diagnose (and even to correct) problems in 3D structures of proteins
and RNA, easily run on our MolProbity web service.  They can help you
pick the most accurate examples for your purposes, or check whether
the feature of interest is reliable in a given structure.   The tricks
we have learned, for distinguishing between errors and real but
unusual features, should be useful for other kinds of data as well.



--
Uwe Ohler                  | Assistant Professor, Computational Biology
email: uwe.ohler at duke.edu  | Institute for Genome Sciences and Policy
phone: (919) 668-5388      | CIEMAS Bldg, 101 Science Dr, Box 3382
fax:   (919) 668-0795      | Duke University
http://www.genome.duke.edu | Durham, NC 27708

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