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 out now as open-source software. And it should make genome sequencing much faster for researchers studying bacteria.
The length of chromosomes of bacteria typically range between 1.5 million base pairs to roughly 9.5 million base pairs, but if researchers want to “read” the individual bases of a genome (the genome sequencing process), they can only do that in pieces of 150 to 10,000 base pairs using modern technology. These pieces are called “reads.”