Among the numerous new tactics that aim to spotlight the so-called cancer driver genes, which produce the most accurate results? To help solve this puzzle, a team of Johns Hopkins computational scientists and cancer experts have devised their own bioinformatics software to evaluate how well the current strategies identify cancer-promoting mutations and distinguish them from benign mutations in cancer cells.
Recent news from The Johns Hopkins University
This section contains regularly updated highlights of the news from around The Johns Hopkins University. Links to the complete news reports from the nine schools, the Applied Physics Laboratory and other centers and institutes are to the left, as are links to help news media contact the Johns Hopkins communications offices.
Imagine millions of jigsaw puzzle pieces scattered across a football field, with too few people and too little time available to assemble the picture. Scientists in the new but fast-growing field of computational genomics are facing a similar dilemma. In recent decades, these researchers have begun to assemble the chemical blueprints of the DNA found in humans, animals, plants and microbes, unlocking a door that will likely lead to better healthcare and greatly expanded life-science knowledge. But a major obstacle now threatens the speedy movement of DNA’s secrets into research labs, two scholars in the field are warning.
Two dozen Johns Hopkins freshmen will get their hands dirty next fall, scratching in the soil of the Homewood campus in search of undiscovered organisms as part of an innovative one-year course offered through the Howard Hughes Medical Institute’s Science Education Alliance. Johns Hopkins recently became one of only 12 colleges and universities nationwide in the newest cohort selected by the Chevy Chase, Md.-based HHMI to offer this National Genomics Research Initiative course, which lasts one academic year and gives students the opportunity to perform hands on research that includes extracting phages-viruses that infect bacteria-from soil samples and using sop