Computational Biology Center - overview
Research at the interface of Information Technology and Biology
We pursue basic and exploratory research at the interface of information technology and biology. Information technology plays a vital role in enabling new science and discovery in biology.
Advances in high throughput and platform technologies in biology present an unprecedented challenge in scale, management, and analysis of biological data. Advances in computing architecture and scale are enabling simulations of complex biological processes at various organizational levels from atomic to cellular and beyond.
Research Groups & Projects
Computational Genomics: Making sense of the Data Explosion in Genomics.
Cancer Genomic Medicine: Advancing precision oncology
Nano-Biotechnology: Nanotechnology for Biological Applications.
Multiscale Systems Biology and Modeling: Cardiac Modeling, Neuroimaging, Neuroanalysis, and Modeling the Brain.
Soft Matter Science: Simulations of Biomolecular Systems, Protein Science.
About the Computational Biology Center
IBM 100 Icons of Progress
In the news
- Pfizer and IBM Launch Innovative Research Project to Transform Parkinson's Disease Car (Fortune)
- Cancer: Reshaping the cancer clinic (Nature)
- Computers Can Predict Schizophrenia Based on How a Person Talks (The Atlantic)
- Cancer: smoother journeys for molecular data (Nature Methods: Technology Feature)
- Enlisting a Computer to Battle Cancers, One by One (New York Times)
- A Computational Model of an Anticancer Nanoparticle (MIT Technology Review)
- Author Profile: Gustavo Stolovitzky (Nature Methods)
- Tech meets Bio: International biology machine (Nature Medicine)
- Zhang W, Ye C, Hong L, Yang Z, Zhou R. Molecular Structure and Dynamics of Water on Pristine and Strained Phosphorene: Wetting and Diffusion at Nanoscale.; Sci Rep. 2016 Dec 6;6:38327.
- He D, Parida L. MUSE: A multi-locus sampling-based epistasis algorithm for quantitative genetic trait prediction; Pac Symp Biocomput. 2016;22:426-437.
- Liu S, Meng XY, Perez-Aguilar JM, Zhou R.; An In Silico study of TiO2 nanoparticles interaction with twenty standard amino acids in aqueous solution. Sci Rep. 2016 Nov 24;6:37761.
- Guinney J, Wang T, Laajala TD, Winner KK, Bare JC, Neto EC, Khan SA, Peddinti G, Airola A, Pahikkala T, Mirtti T, Yu T, Bot BM, Shen L, Abdallah K, Norman T, Friend S, Stolovitzky G, Soule H, Sweeney CJ, Ryan CJ, Scher HI, Sartor O, Xie Y, Aittokallio T, Zhou FL, Costello JC. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncol. 2016 Nov 15.
- Wunsch BH, Smith JT, Gifford SM, Wang C, Brink M, Bruce RL, Austin RH, Stolovitzky G, Astier Y.; Nanoscale lateral displacement arrays for the separation of exosomes and colloids down to 20 nm.; Nat Nanotechnol. 2016 Nov;11(11):936-940.
- Speaker: Geoffrey Attardo, Yale School of Public Health
Seminar: Tsetse Fly Reproduction: Exploration of the Unique Physiological Adaptations of a Neglected Disease Vector
When: 1:00 pm - 2:00 pm on Wed., Jan 18 in Yorktown 20-001