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

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 ...

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

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 ...

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 ...

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

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 ...

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 ...

(Memphis, Tenn. – July 27, 2023) St. Jude Children’s Research Hospital proudly announces that Jinghui Zhang, Ph.D., Member of the Department of Computational Biology, has been elected as a Fellow of ...