Computational Biology & Bioinformatics
Researchers in the IBMS Computational Biology and Bioinformatics cluster model the behavior of biological molecules and biomolecular systems across a range of time and length scales. Studies range from atomic simulations of proteins and carbohydrates to the generation of computational models for processes such as protein folding and interactions, the growth and regulation of the cytoskeleton, and multicomponent and multicellular emergent behavior. Additional studies extract detail from large biochemical datasets, using computational algorithms to identify patterns in gene expression, genome sequences, and metabolic networks. Although their research questions are diverse, students in the cluster share a common goal of addressing key biomedical problems using sophisticated computational algorithms.
Image: Microarray data tracking the expression of multiple genes in real time.
Contact
Holly Goodson (website>)
Department of Biological Sciences
Contact by email
(574) 631-7744
Participating Faculty
Brian BakerChemistry and Biochemistry |
Structural biology and biophysics of recognition and signaling in immunity, cancer, and antibiotic resistance |
Patricia L. ClarkChemistry and Biochemistry |
Protein biophysics in living cells |
Steve CorcelliChemistry and Biochemistry |
Theoretical and computational studies of reaction dynamics |
Jeffrey FederBiological Sciences |
Ecological and evolutionary dynamics of interactions between disease carrying insects and their human hosts; Chagas, malaria |
Michael FerdigBiological Sciences |
Genetics and genomics of drug resistance and virulence in the malaria parasite |
Kelsey GasiorApplied & Computational Mathematics & Statistics |
Using an interdisciplinary approach to understand the multiscale dynamics controlling spatio-temporal patterns necessary for cellular function |
Holly GoodsonChemistry and Biochemistry; Biological Sciences |
Molecular and cell biology and biophysics |
Kasturi HaldarBiological Sciences |
Understanding disease pathology and developing treatments in rare and neglected diseases |
Bei HuApplied & Computational Mathematics & Statistics |
Mathematical modeling of tumor growth |
Jun LiApplied & Computational Mathematics & Statistics |
Applied Statistics, Bioinformatics, Biostatistics, specialized in modeling, inferring, and testing on large datasets, developing new statistical and machine learning methods for challenging datasets (e.g., RNA-seq) |
Shahriar MobasheryChemistry and Biochemistry |
Bioorganic and biochemistry of antibiotic resistance and cancer metastasis |
Jeffrey PengChemistry and Biochemistry; Physics |
NMR methods and biomolecular dynamics |
Alex PerkinsBiological Sciences |
Infectious disease transmission and control; mathematical, computational, and statistical approaches |
Robert RosenbaumApplied & Computational Mathematics & Statistics |
Computational Neuroscience, Motor Learning, Cortical Microcircuits |
Santiago S. SchnellBiological Sciences |
Development of meta-analysis studies to assess the reproducibility of findings, and promote approaches to report findings with rigor, reproducibility, and robustness in the biomedical sciences |
Jeremiah ZartmanBiological Sciences |
systems biology of organ growth and regeneration; reverse-engineering signaling networks and biophysical mechanisms that regulate cell decisions such as differentiation, proliferation, and apoptosis, as it relates to organogenesis, cancer, and wound healing
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Yongtao ZhangApplied & Computational Mathematics & Statistics |
Application of numerical algorithms to spatio-temporal patterning in biology |