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  • Software Carpentry Workshops at the NIH Library: Registration Now Open!

    The NIH Office of the Associate Director for Data Science and the NIH Library are pleased to host Software Carpentry Workshops taught by volunteers from the NIH community. Software Carpentry’s mission is to help researchers by teaching them core computing skills that will help them be more productive in a small research team.

  • Making Health: Inspiring Innovative Solutions for Research and Clinical Care

    The National Week of Making (June 17-23, 2016) celebrates the ingenuity and creativity of the diverse community of inventors in the Maker Movement. Join in celebrating the National Week of Making with a special symposium at the National Institutes of Health (NIH) titled “Making Health: Inspiring Innovative Solutions for Research and Clinical Care.”

  • OmicCircos: Data Visualization for Data Integration, April 21

    OmicCircos is a free tool used to generate high-quality circular plots for visualizing annotations and genomic variations, including mutation patterns, copy number variations (CNVs), expression patterns, and methylation patterns.

  • GeneSpring 13.1 Training Offered January 5th

    The NIH Library Bioinformatics Support Program has organized a GeneSpring 13.1 training class for January 5. This free training will be held in the NIH Library Training Room, Building 10, from 9:30 a.m. to 4 p.m., which includes Tips and Tricks from 1 to 4 p.m. Registration is required.

  • OmicCircos: Data Visualization for Data Integration―December 9th

    OmicCircos is a free tool used to generate high-quality circular plots for visualizing annotations and genomic variations, including mutation patterns, copy number variations (CNVs), expression patterns, and methylation patterns.

  • NIH Library Open House 2015

    In conjunction with the NIH Research Festival​, the Library’s open house will showcase why we truly are “Your Partner in Research.” New this year will be a demonstration of the data visualization touch screen provided by the NIH Office of the Associate Director for Data Science.