News from the Broad

The Broad Institute is committed to open sharing not only of its scientific data and tools, but also information and news about our progress towards achieving our mission. Below are just a few highlights from the Broad scientific community.
  • Researchers generate a reference map of the human epigenome

    February 18th, 2015
    Better understanding of gene modifications could elucidate their role in human traits, diseases
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  • Largest ever genome-wide study strengthens genetic link to obesity

    February 11th, 2015
    Findings help explain why some people are more likely than others to gain weight and develop obesity-related conditions
    Read Full Story
  • Sashimi Plot software now available

    February 11th, 2015

    A team of Broad researchers led by Jill Mesirov, Edo Airoldi, and Chris Burge recently published a paper describing their “Sashimi Plot” software for visualizing the abundance of mRNA isoforms in multiple RNA-Seq samples. Now integrated into the Integrative Genomics Viewer (IGV) browser, the plots display raw data that resembles small pieces of sashimi and include isoform abundance estimates from the quantitation program, MISO. Learn more about the software in the journal Bioinformatics.

  • The evolution of drug resistance in Candida albicans

    February 10th, 2015

    How does a seemingly harmless member of the human microbiome become the fourth most common cause of infection in hospitals? A new paper from the lab of Broad core member Aviv Regev reveals the molecular mechanisms that enable Candida albicans — a common fungus normally found in the human body — to evolve into a drug-resistant pathogen. Read the study in eLIFE.

  • New methods for leveraging large cohort studies

    February 7th, 2015

    This week, Nature Genetics included papers on two new methods for leveraging large cohort studies. One paper — from the Broad’s Program in Medical and Population Genetics (MPG) and Stanley Center for Psychiatric Research, along with a team of collaborators — shares a powerful new approach for controlling inflation in genome-wide association studies (GWAS). The other — also with contributions from MPG — describes a technique that vastly increases computation speed while simultaneously increasing the statistical power of large data sets.