GCB member Andrew Allen, Ph.D., professor of Biostatistics and Bioinformatics, collaborated with researchers at the Columbia University Vagelos College of Physicians and Surgeons to uncovered an ar

A new tool aims to help researchers make better hypotheses

By Alissa Kocer

Machine learning algorithm uses high-temporal-resolution growth curves to identify pathogens with 98% accuracy and predict antibiotic resistance just as well as genetic-based methods

Here are summaries of a selection of the papers published by GCB faculty in July 2020:

ENCODE Project's third phase offers new insights into the organization and regulation of our genes and genome

By Prabarna Ganguly, Ph.D.

Jenny Tung was interviewed on Lunch Break Science, The Leakey Foundation’s new online summer series.

Here are summaries of a selection of the papers published by GCB faculty in June 2020:

New platform quickly analyzes bacterial strains in the microbiome

By Alissa Kocer

After six successful years as a member of Duke University Institiutes and Centers, GCB is finding a new home in the Department of Biostatistics and Bioinformatics (B&B), and more specifically i

Donald Lab algorithms design a protein to probe cancer signaling

By Alissa Kocer