A hand touching computer simulated DNA

With the advent of high throughput technologies to generate vast amount of biological data, bioinformatics has become a vital area in the life sciences. Over the past two decades, such “big data” has become increasingly central to scientists’ efforts to understand topics such as the large-scale regulation of gene expression, the interactions among all of the proteins present in a particular cell, and plant response to biotic and abiotic factors. Such questions have become central to fields as diverse as healthcare, conservation ecology, and civil engineering, all of which rely on individuals with training and expertise in bioinformatics. As biological data generation has become fast and affordable, there is a crucial need for novel and scalable computational methods to analyze, store, visualize, and interpret these datasets.

The Center for Computational Life Sciences (CCLS) is a platform that brings together researchers from multiple disciplines to work on computational methods to analyze large scale biological datasets to answer pressing problem in life sciences.

Our Mission

 

The mission of the CCLS is to create a platform for computer scientists, mathematicians, statisticians, and biologists who work in bioinformatics-related problems to cultivate new ideas and establish research collaborations.

The CCLS also provides training resources for graduate and undergraduate students, postdocs, and faculty who are interested in bioinformatics.