Bioinformatics and Computational Biology

tree of life diagramOur researchers work on core computational biology-related problems, including genomics, proteomics, metagenomics, and phylogenomics. We develop novel techniques that combine ideas from mathematics, computer science, probability, statistics, and physics, and we help identify and formalize computational challenges in the biological domain, while experimentally validating novel hypotheses generated by our analyses.

We are developing algorithms with improved accuracy for large-scale and complex estimation problems in phylogenomics (genome-scale phylogeny estimation), multiple sequence alignment, and metagenomics. We are exploring gene regulation—developing advanced techniques to predict the diverse function of noncoding parts of DNA and to relate interspecies and interpersonal differences in DNA to differences in the organism’s form and function. We work broadly in the development of machine learning techniques for computational biology, with research spanning the areas of molecular and structural biology; networks and systems biology; and molecular mechanisms of human disease.

CS Faculty and Their Research Interests

Mohammed El-Kebir phylogenetics
Jiawei Han data mining for genomics and medical informatics
Jian Peng bioinformatics, protein function & structure, systems biology, machine learning and optimization
Saurabh Sinha bioinformatics, gene regulation, comparative genomics, sequence analysis
Tandy Warnow bioinformatics, multiple sequence alignment, phylogenomics, metagenomics, and historical linguistics
ChengXiang Zhai information retrieval, natural language processing for medical informatics

Bioinformatics and Computational Biology Research Efforts and Groups

Bioinformatics and Computational Biology Research News

Incoming Department Head Nancy Amato

Chicago Inno’s 2018 50 On Fire

September 19, 2018  

Chicago Inno -- Incoming Department Head Nancy Amato and Farmers Fridge -- whose CTO is Rajesh Karmani (PhD CS '13)  -- were both part of Chicago Inno's annual 50 on Fire list of people and companies influencing the direction of the Chicago-area tech scene.

A collaboration between the University of Illinois and Mayo Clinic has yielded a tool that makes stronger predictions about what genomic features are associated with specific drug responses.

New Informatics Tool Makes the Most of Genomic Data

July 16, 2018   A collaboration between the University of Illinois and Mayo Clinic has yielded a tool that makes stronger predictions about what genomic features are associated with specific drug responses.
CS Professor Saurabh Sinha

New Informatics Tool Makes the Most of Genomics Data

July 12, 2018  

Technology Networks -- A new computational tool developed by University of Illinois researchers -- including CS Professor Saurabh Sinha -- and the Mayo Clinic combines genomic information to make stronger predictions about what genomic features are associated with specific drug responses.

CS Assistant Professor Jian Peng

New Algorithm Fuses Quality And Quantity In Satellite Imagery

June 4, 2018   Using a new algorithm, University of Illinois researchers may have found the solution to a dilemma plaguing satellite imagery – whether to sacrifice high spatial resolution to generate images more frequently.
Dr. Pavel Pevzner

Distinguished Lecture Series: Dr. Pavel Pevzner

March 21, 2018   Dr. Pavel Pevzner, the Ronald R. Taylor Professor of Computer Science and Engineering at UCSD will argue that bioinformatics is rapidly turning into the queen of molecular biology.