genomics

David Gomez-Cabrero

Associate Professor, Bioscience

computational bioscience machine learning genomics epigenetics functional biology

Professor Cabrero's research focuses on developing statistics and machine learning tools for understanding biological systems that address health-related applications, advance biomedical research and enhance our understanding of the molecular mechanisms of diseases with the potential to uncover novel therapeutic approaches.

Making the silent genes speak

1 min read · Sat, Dec 13 2014

applied mathematics computational science genomics coding gene

Regulating an overlooked set of genes may help biologists manipulate cells to find new therapy options.

Honey bee behavior is in the genes

1 min read · Sat, Aug 22 2015

applied mathematics Computer science genomics genetics

An integrated set of genetic mechanisms controls whether bees behave as foragers or nurses.

Enhancing understanding of genetic regulation

1 min read · Sat, Aug 13 2016

applied mathematics computational science genomics genes

Researchers round up clues to track down enhancers.

Studying COVID-19’s envelope protein

1 min read · Tue, Jul 28 2020

COVID-19 human health genomics

A likeness between genes of the SARS and COVID-19 viruses could inform research into potential treatments.