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 ...

Integrator: A guardian of the human transcriptome

In a joint collaboration, Danish and German researchers have characterized a cellular activity that protects our cells from potentially toxic by-products of gene expression. This activity is central for the ability of multicellular ...

How epigenetic switches control gene expression

Scientists at Tokyo Institute of Technology have deciphered how to quantitatively assess the effects of specific epigenetic changes on the rate of transcription by developing a mathematical model. Using their method, they ...

New compact model for gene regulation in higher organisms

Although the DNA and its double-helix are one of the most familiar molecules of our time, our knowledge of how cells control what genes they want to express is still rather limited. In order to create, for example, an enzyme, ...

Customized programming of human stem cells

Induced pluripotent stem cells (iPS) have the potential to convert into a wide variety of cell types and tissues for drug testing and cell replacement therapies. However, the "recipes" for this conversion are often complicated ...

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