DeepTFactor predicts transcription factors

A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...

Human genetics: A look in the mirror

Who are we? Where did we come from? How did we get here? Throughout the ages, humans have sought answers to these questions, pursuing wisdom through religion, philosophy, and eventually science. Evolutionary analyses published ...

A genome-scale map of DNA methylation kinetics

While the first genome-wide DNA methylation map in mammalian cells was established over 10 years ago, such maps only provide snapshots and do not inform about the actual dynamics of this epigenetic mark. Researchers from ...

Researchers move closer to producing heparin in the lab

In a recent study published in the Proceedings of the National Academy of Sciences (PNAS), University of California San Diego researchers moved one step closer to the ability to make heparin in cultured cells. Heparin is ...

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