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.
  • Resisting resistance in tuberculosis

    April 13th, 2016
    Antibiotics do patients no good if the pathogen being targeted is resistant to them. When it comes to tuberculosis, avoiding treatments destined to fail can be lifesaving.
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  • Hunt for noncoding mutations reveals insights into development of red blood cells

    April 12th, 2016

    Chasing mutations in the coding regions of genes associated with disease is one thing; chasing noncoding or regulatory mutations is another. For a study published last week in the Proceedings of the National Academy of Sciences, a team led by Vijay Sankaran, Aoi Wakabayashi, and Jacob Ulirsch of Boston Children’s Hospital, Dana-Farber Cancer Institute, and Broad Institute used CRISPR genome editing to probe rare mutations — all in noncoding DNA — linked to three red blood cell diseases. Their findings reveal new insights into the intricate dance of transcription factors involved in red blood cell development, and provide a framework for studying the functional changes wrought by mutations in noncoding stretches of the genome.

  • Taking on melanoma, one cell at a time

    April 7th, 2016
    In step toward personalized medicine, researchers are using single-cell analysis to unravel cancer’s secrets
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  • Breaking leukemia's rhythm

    April 7th, 2016
    New study finds link between circadian rhythms, AML
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  • Broad moves genome analysis to the cloud; collaborates with cloud providers to offer access to the leading genome analysis toolkit

    April 5th, 2016
    At the Broad Institute of MIT and Harvard we generate a lot of data. We also develop the cutting-edge software tools researchers need to find signals in the noise. We are committed to sharing tools and data openly with the entire scientific community, and have dedicated a team to constantly improve our Genome Analysis Toolkit (GATK), which is the software package we developed for analysis of high-throughput sequencing data.
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