A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...

Vilcek Institute of Graduate Biomedical Sciences’ PhD program in Computational Biology and Bioinfomatics focuses on informatics innovation.

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 2022-23 degree requirements for Computational Biology. This page is not an official list of degree requirements. Adjustments may be required due to curriculum changes. Current ...

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 ...

Welcome to the Fred Hutch Cancer Center's Data Science Education portal. At Fred Hutch, we understand the critical role data science plays in advancing cancer research and developing new, life-saving ...

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 ...