Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

Ancient duplicated genes are giving scientists their first real clues about what life was like before all life on Earth shared a common ancestor.

Researchers at The Institute of Cancer Research, London, have uncovered how the DNA repair enzyme XPF-ERCC1 is recruited to sites of damage and activated inside cells, resolving a long-standing ...

By combining large-scale experiments with deep learning, researchers built a lightweight model that deciphers how regulatory DNA controls gene activity.

Gene regulation is far more predictable than previously believed, scientists conclude after developing deep learning model PARM. This might bring an ...

Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning ...

Liam Byrne opened the afternoon talks, sharing his journey to becoming an “adopted Gibraltarian.” Gibraltar gave him the ...

The history of cancer research is long, stretching back to 1713 when physician Bernadino Ramazzini observed that nuns faced ...

Gene regulation is far more predictable than previously believed, scientists conclude after developing deep learning model PARM. This might bring an end to a scientific mystery: how genes know when to ...

Thursday, Jan. 22, Director of Communications and Marketing at the College of William and Mary’s School of Computing, Data ...

Illumina, Inc. (NASDAQ: ILMN) today announced a sequencing agreement with the San Diego Zoo Wildlife Alliance (SDZWA)'s ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...