A computer algorithm developed by Brown computer scientists is helping to unlock the genetic drivers behind a variety of cancers. Research reported in the journal Nature identified a suite of mutations common in 12 types of cancer, including cancers of the breast, uterus, lung, colon, brain, and kidney.
Sorin Istrail has received the inaugural Translational Seed Award from OVPR for the project “Development of New Computational and Point of Care Platforms for HIV Drug Resistance” in collaboration with Joe Hogan (Biostatistics), Rami Kantor (Medicine), and Anubhav Tripathi (Engineering).
CCMB Ph.D. students Hsin-Ta Wu and Max Leiserson, working in Ben Raphael's group, use powerful algorithms to assemble the most complete genetic profile yet of acute myeloid leukemia, an aggressive form of blood cancer, in collaboration with researchers at Washington University in St., Louis and The Cancer Genome Atlas (TCGA).
Animal cells contain two genomes: one in the nucleus and one in the mitochondria. When mutations occur in each, they can become incompatible, leading to disease.
A team of researchers led by Brigham and Women’s Hospital in Boston, including members of William Fairbrother’s lab at Brown, has won the national CLARITY genomics contest, organizers announced in San Francisco Nov. 7.
Eli Upfal and Fabio Vandin of the Computer Science Department, and Ben Raphael of the Computer Science Department and the CCMB at Brown University, from left, are developing Big Data analytical tools that make sense of large datasets and eliminate the noise of data errors.
Researchers from Brown University have developed a method that they say can generate more accurate haplotype assemblies for genome-wide and whole-exome studies than current methods.
David Rand along with fellow professors Barry Connors and Dian Lipscombe have been named fellows of the American Association for the Advancement of Science.
This summer, more than a hundred scientists from dozens of research institutions published a landmark paper that identified a single gene responsible for the most prevalent form of ovarian cancer.