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 ...

A new paper in Biology Methods and Protocols, published by Oxford University Press, indicates that a new computational method may help researchers ...

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 ...

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 ...

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 team has proposed a cutting-edge research strategy that leverages artificial ...

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 ...

Bioinformatics and computational biology represent inter‐related disciplines that harness computational methods, statistical models and algorithmic innovations to decode, organise and interpret ...

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 ...