Brown CS & CCMB To Enjoy Record Participation at ISMB 2014:
Brown University's Department of Computer Science (Brown CS) and Center for Computational Molecular Biology (CCMB) are looking forward to giving a record number of talks at one of the most prominent conferences in computational biology.
Interactions May Matter Most for Longevity:
A new study of the biology of aging shows that complex interactions among diet, mitochondrial DNA and nuclear DNA appear to influence lifespan at least as much as single factors alone. The findings may help scientists better understand the underlying mechanisms of aging and explain why studies of single factors sometimes produce contradictory results.
Algorithm aids in cancer research:
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. The research was aided by an algorithm called Dendrix, developed by Ben Raphael, Fabio Vandin, and graduate students in Brown’s Department of Computer Science. Dendrix sifts through genomic data and identifies gene networks that, when disrupted by mutation, appear to contribute to the development of cancer. Dendrix is one of two algorithms developed at Brown that have been used widely in work of The Cancer Genome Atlas project. Earlier this year, the algorithms were used assemble a genetic profile of acute myeloid leukemia (AML), an aggressive form of blood cancer.
Algorithms find genetic cancer networks:
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). Findings are reported in the New England Journal of Medicine.
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