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

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

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 ...

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 ...

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 ...

R-loops are structures that form when a strand of RNA (red) forms a stable structure with double-stranded DNA, causing one strand of the DNA to form a loop. R-loops are associated with gene ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research ...

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 ...

Undergraduates at the University of Colorado Boulder interested in biology and computer science used to have to find creative ways to blend their interests on their own. That changed when CU Boulder ...

The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...