The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...

School of Medicine, The Ohio State University, Columbus, Ohio 43202, United States Department of Pharmaceutical Sciences, School of Pharmacy and Health Sciences, Wayne State University, Detroit, ...

What if a cup of coffee could help treat cancer? Researchers at the Texas A&M Health Institute of Biosciences and Technology believe it's possible. By combining caffeine with the use of CRISPR—a ...

With a new study in the journal Cell, researchers at Stanford University and Stockholm University have contributed to increased knowledge about gene regulation in human cells. How genes are turned on ...

The authors collected time-course RNA-seq data from four tree species in natural environments and analyzed seasonal patterns of gene expression. This fundamental study substantially advances our ...

All the cells in an organism have the exact same genetic sequence. What differs across cell types is their epigenetics—meticulously placed chemical tags that influence which genes are expressed in ...

Instead of requiring personalized gene edits for each patient, the new approach could create a standardized method to use for many diseases. By Pam Belluck and Carl Zimmer Gene-editing therapies offer ...

What if you could flip a genetic switch to silence a gene, then turn it back on with a simple drug? For researchers, gene-switch tools offer that kind of control—and a new system called Cyclone may ...

Scientists at the MRC Laboratory of Medical Sciences (LMS) have discovered a DNA-based “dimmer switch” that regulates the activity of a critical developmental gene, Cdx2. This work could pave the way ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The gene expression capacity of bacteria depends on the interplay between growth and ...

Traditional meta-analyses pool effect sizes across studies to improve statistical power. Likewise, there is growing interest in joint clustering across datasets to identify disease subtypes for bulk ...