Researchers from MIT’s Department of Biology have developed a new computational method called FragFold, which shows promise for advancing biological research and therapeutic applications. The newly ...

There have been impressive advances in computational methods, allowing researchers to better understand biological and physiological systems at the atomic level. In its latest Perspectives in General ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

This page outlines the degree requirements for Computational Biology. This page is not an official list of degree requirements. Adjustments may be required due to curriculum changes. Current students ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

A dendritic cell and a T-cell are depicted dancing in the foreground, under the dazzling lights reflected from a disco ball. In the background, a malignant cancer cell is depicted dancing with another ...

Our students are well-prepared to tackle complex biological systems and topics such as epidemiology, biotechnology, precision medicine and more. The undergraduate minor in computational biology ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Computational biology is integral to the research being conducted in every lab in the Department of Genetics and Genome Sciences. The development and implementation of computational pipelines are now ...