Research

At Indiana University, Bloomington, the Bioinformatics Group's chief aim is to better understand life through an application of a mix of established disciplines computer science, statistics, and, of course, the life sciences-molecular biology, genetics, chemistry, etc. We seek to model, discover, and manage biological data typically through computational means-either creating applications directly or employing existing tools for both us and the Bioinformatics community at large.

Because Bioinformatics is a shared endeavor, our closely-knit group actively collaborates not only with each other, but throughout the campus.
Biology [(http://www.bio.indiana.edu/ )],
Chemistry [(http://www.chem.indiana.edu/ )],
the newly formed Departments of Biochemistry and Molecular Biology. [(http://www.biochemistry.iu.edu) ] and Statistics [(http://www.stat.indiana.edu/ )] the Center for Genomics and Bioinformatics [(http://www.cgb.indiana.edu/)], the National Center for Glycomics and Glycoproteomics [(http://ncgg.indiana.edu/)], Center for Computational Biology and Bioinformatics [(http://compbio.iupui.edu/dunker/)], Indiana University School of Medicine [(http://www.medicine.iu.edu/ )], University Information Technology Services (IU) [(http://uits.iu.edu/)] with other academic institutions, The Ohio State University [(http://www.osu.edu/)] , University of California San Diego [(http://www.ucsd.edu/)] , Case Western Reserve [(http://www.case.edu/)] , and with private industry like Microsoft [(www.microsoft.com)] , Rockefeller [(http://uqbar.rockefeller.edu/)], IBM Life Sciences [(http://www-304.ibm.com/jct09002c/university/scholars/products/lifesciences/)]

Bioinformatics is fueled by Indiana University's Life Science Initiative [(http://lifesciences.iu.edu/)], INGEN (INdiana GENomics Initiative) [(http://www.ingen.iu.edu/)] made possible by the Indianapolis-based Lilly Endowment, and in accordance with the state's Bioscience initiative [(http://www.bio.org/local/battelle2006/Indiana.pdf)]

What we'll provide here is not an exhaustive listing, but an excellent approximation to the kind of ongoing projects we're actively pursuing. To get more information, we invite you to contact anyone of us to discuss the work or possible work in more detail. The list is not presented in any special order-like Bioinformatics itself it's a grand mix of perspectives, disciplines, and pursuits about life.

Mehmet M. Dalkilic
Dalkilic focuses on datamining and integration of genome-wide data-typically high-throughput. He also works on motif discovery algorithms and information-theoretic analysis of protein structure.

Matt Hahn
Hahn works on broad questions about organismal function and evolution by examining the plethora of genomic data becoming available. In particular, some of the questions he is interested in genetic drift and its effects.

Sun Kim (NSF Career Awardee)
Kim focuses on comparative genomics and cancer with a focus on hypermethylation. He also actively works on motif discovery and on epigenetic changes in cancer genomes.