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

Part I. Introduction: Bioinformatician's primers. 1. Introduction to genome biology and diversity / Noor Youssef, Aidan Budd, and Joseph P. Bielawski ; 2. Probability, statistics, and computational ...

A new collaboration brings together a world-leading interdisciplinary team with skills across quantum computing, genomics, and advanced algorithms. They aim to tackle one of the most challenging ...

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 ...

Marmar Moussa, Ph.D., an assistant professor of computer science at the University of Oklahoma, has secured a nearly $1 million award from the National Institutes of Health to advance her work in ...

Analyzing a person's gene expression requires mapping their RNA landscape to a standard reference to gain insight into the degree to which genes are "turned on" and perform functions in the body. But ...

Researchers have developed a computational method to map the architecture of human tissues in unprecedented detail. Their approach promises to accelerate studies on organ-scale cellular interactions ...

The study of cancer genomics has revealed that both inherited (germline) and acquired (somatic) genetic variations significantly influence cancer ...