By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.

MIT researchers model and create an atlas for how neurons of the worm C. elegans encode its behaviors, make findings available on their “WormWideWeb.”

An epigenetic model of cancer that incorporates the concept of stochasticity could also explain why cancer risk increases with age and how biological development can be reversible.

With NEET, Sherry Nyeo is discovering MIT’s undergraduate research community at the intersection of computer science and biological engineering.

Jonathan Weissman and collaborators used their single-cell sequencing tool Perturb-seq on every expressed gene in the human genome, linking each to its job in the cell.

The technique can help predict a cell’s path over time, such as what type of cell it will become.

After a nose swab tests positive for a virus or bacteria, scientists can use the sample’s genetic sequence to figure out where and when the pathogen emerged and how fast it’s changing.

Many features of proteins are analogous to music. Mapping these features together creates new musical compositions that help researchers learn about proteins.

Scanning through billions of chemicals to find a few potential drugs for treating COVID-19 requires computers that harness together thousands of processors.