New Software From University of George Improves Accuracy of DNA Sequence Analysis
Researchers from the University of Georgia’s Center for Food Safety have developed software that functions as an important step in improving the accuracy of DNA sequence analysis when testing for microbial contamination.
Sepia is a cutting-edge read classifier, written by College of Agricultural and Environmental Sciences Assistant Professor Henk den Bakker, that is available as open-source software. It is expected to make genome sequencing much faster for researchers studying bacteria.