An “oracle” for predicting the evolution of gene regulation
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.
Single-cell gene expression analyses of human cerebrovascular cells can help reveal new drug targets for Huntington’s disease.
The technique can help predict a cell’s path over time, such as what type of cell it will become.
Dincă, Feng, Hunter, Shoemaker, and Wang are recognized for their efforts to advance science.
A new study finds the clusters form small, stable droplets and may give the genome a gel-like structure.
Condensed-matter theory PhD candidate Makinde Ogunnaike is featured in the Poetry of Science project.
Professors Linda Griffith and Feng Zhang along with Guillermo Ameer ScD ’99, Darrell Gaskin SM ’87, William Hahn, and Vamsi Mootha recognized for contributions to medicine, health care, and public health.
While the brain acquires resistance to continuous treatment with mGluR5 inhibitor drugs, lasting effects may still arise if dosing occurs intermittently and during a developmental-critical period.
Awards support high-risk, high-reward biomedical and behavioral research.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Researchers find RNA-guided enzymes are more diverse and widespread than previously believed.
Made of components found in the human body, the programmable system is a step toward safer, targeted delivery of gene editing and other molecular therapeutics.
Professors earn tenure in the departments of Brain and Cognitive Sciences, Chemistry, and Physics.
A technique for labeling and retrieving DNA data files from a large pool could help make DNA data storage feasible.
Novel method, developed by McGovern Institute researchers, may lead to safer, more efficient gene therapies.