Brown University's School of Public Health Department of Biostatistics is pleased to welcome one of our newest faculty members, Ying Ma, Ph.D. as Assistant Professor of Biostatistics, effective August 1, 2023. Ma is a member of the Center for Computational Molecular Biology (CCMB) as well as Center for Statistical Sciences (CSS).
The COBRE Center for Computational Biology of Human Disease is advancing the use of computational tools among biomedical scientists at Brown, helping them unlock new insights that could ultimately benefit patients.
About one year ago, DSI announced a new interim director, Sohini Ramachandran. Today, we are happy to announce that Professor Ramachandran is officially Director of the Data Science Initiative. Below is Provost Locke's email announcement.
Brown School of Public Health faculty member Lorin Crawford will receive $875,000 over five years to pursue research in statistics, genomics and applied mathematics.
Long-term work by a Brown research team on how barnacles thrive in intertidal zones has increasingly wide implications for understanding how other organisms may adapt in the face of climate change.
Two assistant professors at Brown, in chemistry and ecology and evolutionary biology, are among the 126 early-career scholars named as Alfred P. Sloan Foundation fellows for 2020.
Faculty members Sohini Ramachandran and Anita Shukla are among the winners of the Presidential Early Career Award in Science and Engineering, the nation’s top honor for early-career scientists and engineers.
Brown biologists have developed a new system, described in Nature Genetics, that identified and tracked hundreds of genetic variations that alter the way DNA is spliced when cells make proteins, often leading to disease.
Ph.D. student Stephen Rong of Brown University’s Center for Computational Molecular Biology (CCMB) and Department of Ecology & Evolutionary Biology has just received a National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) Fellowship.
As gene sequencing has gotten faster and cheaper, clinicians and researchers are able to use genomic data to study, diagnose, and develop a course of treatment for a variety of individual cancers.
Cancers often involve far more than a genetic mutation acting alone. Multiple mutations, many of which are rare, may occur in different networks of multiple genes. HotNet2 is a powerful algorithm that analyzes genes at the network level and can help cancer researchers search for genetic associations and likely sources of disease across almost unimaginable genetic complexities.
Brown University evolutionary biologist Sohini Ramachandran has joined with colleagues in publishing a sweeping analysis of genetic and linguistic patterns across the world’s populations. Among the findings is that geographic distance predicts differentiation in both language and genes.
Ebola has a lot of company. In a novel database now made publicly available, Brown University researchers found that since 1980 the world has seen an increasing number of infectious disease outbreaks from an increasing number of sources. The good news, however, is that they are affecting a shrinking proportion of the world population.
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.
Barry Connors, Diane Lipscombe, and David Rand have been named fellows of the American Association for the Advancement of Science. They will be officially welcomed as fellows on Saturday, Feb. 18, 2012, at the AAAS Annual Meeting in Vancouver, B.C.
In Boston, Brown University's Department of Computer Science (Brown CS) and Center for Computational Molecular Biology (CCMB) managed to put a capstone on their achievement of giving a record number of talks at one of the most prominent conferences in Computational Biology.
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.
Brown University's Department of Computer Science has exceeded its own record for the largest number of Seed Awards in a single year, with six faculty members sharing five awards in 2014.
Sorin Istrail has received funding for the NSF grant "Genome-Wide Algorithms for Haplotype Reconstruction and Beyond: A Combined Haplotype Assembly and Identical-by-Descent Tracts Approach".
Postdoctoral Research Associate Iman Hajirasouliha of Brown University's Computer Science Department and the Center for Computational Molecular Biology (CCMB) has just received a Postdoctoral Fellowship from the Natural Sciences and Engineering Research Council of Canada (NSERC) for his proposal ("Algorithms for constructing ancestral history of deep-sequenced tumors") on cancer heterogeneity.
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.
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.