Bioinformatics and Computational Biology

Research in this area explores the use of computational methods to better categorize, visualize, and model biological data and systems. These problems often involve massive, high-dimensional datasets and their solutions draw from many disciplines of computer science including database management, data mining, machine learning, and algorithmic optimization. Research in this group includes algorithms for sequence and structure analysis, protein structure prediction, virtual screening and lead discovery, data modeling of scientific applications, DBMS (database management system) extensions in support of brain image and proteomics analyses, and building predictive models for effective disease diagnoses. The research group has increasing collaboration with the College of Biological Sciences, the Medical School, and the Mayo Clinic.

Faculty

Dan Boley headshot
Professor, Distinguished University Teaching Professor, Data Science Director of Graduate Studies
Office
6-209 Keller Hall
Phone
E-mail
Ravi Janardan headshot
Professor
Office
6-217 Keller Hall
Phone
George Karypis headshot
Professor, Distinguished McKnight University Professor
Office
483 Walter Library
Phone
Dan Knights thumbnail
Associate Professor
Office
6-124 Molecular And Cellular Biology
Phone
Rui Kuang headshot
Professor
Office
5-215 Keller Hall
Phone
E-mail
Vipin Kumar headshot
Regents Professor, William Norris Land Grant Chair in Large-Scale Computing, ADC Data Science Initiative Director Chair
Office
5-225C Keller Hall
Phone
Chad Myers thumbnail
Professor, Co-Director of Graduate Studies for Bioinformatics and Computational Biology
Office
6-116 Molecular And Cellular Biology
Phone
E-mail
Catherine Qi Zhao headshot
Associate Professor
Office
6-189 Keller Hall
Phone
E-mail

Labs and selected projects

Latest research projects, publications, and talks