Scientists from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and Harvard, and the National Center for Biotechnology Information at the National Institutes of Health have developed a new algorithm that can sift through massive amounts of genomic data to identify unique CRISPR systems. Known as Fast Locality-Sensitive Hashing-based clustering…
Microbial sequence databases hold a vast array of information about enzymes and other molecules that could be utilized in biotechnology applications. However, the sheer size of these databases has made it challenging to efficiently search for specific enzymes of interest.
Researchers from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and…