Center for Computational Molecular Biology

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News from CCMB

Congratulations Hsin-Ta!

Hsin-Ta Wu successfully defended his thesis on Tuesday, May 10th to become our second awarded Doctorate in the Computational Biology Ph.D. program.
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Congratulations to Dr. Max Leiserson, Ph.D. on successfully defending his thesis and becoming the first Ph.D. to complete the program in Computational Biology at the Center. We are proud to have you as our first awarded Doctorate and wish you all the best in your future endeavors. 
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News from CCMB

Stephen Rong awarded NSF GRFP!

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.
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Congratulations to Ashley Conard

CCMB incoming PhD student on winning the Research Collaboratory for Structural Bioinformatics Protein Data Bank’s 2015 Poster Prize!
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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.
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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.
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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.
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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.
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News from CCMB

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.
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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.
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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.
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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.
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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.
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News from CCMB

Iman Hajirasouliha Receives NSERC Fellowship

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.
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News from CCMB

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.
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News from CCMB

Translational Seed Award

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).
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News from CCMB

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).
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When the cell's two genomes collide

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.
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Brown Helps Win Genomics Challenge

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.
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Brown awarded $1.5M for new Big Data tools

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.
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David Rand named AAAS fellow

David Rand along with fellow professors Barry Connors and Dian Lipscombe have been named fellows of the American Association for the Advancement of Science.
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HotNet is the heat-seeker of cancer

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.
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