Peter Shor, the Morss Professor of Applied Mathematics at MIT, has received the2018 Micius Quantum Prize, which is awarded within the field of quantum computation.
A machine-learning model from MIT researchers computationally breaks down how segments of amino acid chains determine a protein’s function, which could help researchers design and test new proteins for drug development or biological research.
##GEM software suite This software suite contains several methods for analyzing transcription factor binding and motif using genomic data (GEM, GPS, KMAC, KSM, RMD, etc.) and for discovering chromatin interactions (CID).
Thanks to technological advances, we can now profile gene expression across thousands or millions of individual cells in parallel. This new type of data has led to the intriguing discovery that individual cell profiles can reflect the imprint of time or dynamic processes.
MIT researchers have developed a cryptographic system that could help neural networks identify promising drug candidates in massive pharmacological datasets, while keeping the data private.
Editing genes with CRISPR-Cas9 allows scientists to break DNA at specific locations, but this can create “spelling errors” that alter the function of genes.