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Research Roundup: July 2023

Here are summaries of a selection of the papers published by GCB faculty in July 2023:

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ENCODE Project's third phase offers new insights into the organization and regulation...

Jenny Tung

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Jenny Tung was interviewed on Lunch Break Science, The Leakey Foundation’s new online summer...

Fluorescently labeled E. coli growing in droplets from h 0 to h 9. We facilitated imaging by overloading E. coli (i.e., most droplets were initially loaded with more than one E. coli cell).

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New platform quickly analyzes bacterial strains in the microbiome

...

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  • Duke Single-Cell Science Colloquium

    Sep 29
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GCB provides a wide range of technologies for sample preparation and data production to enable research projects.

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GCB works with investigators from experimental design through quality control and analysis of large data sets.

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GCB's information systems are designed to minimize time spent on staging data for analysis and maximize efficiency of analysis.

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GCB provides a centralized resource hub to provide access to a variety of services for researchers.

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GCB supports our research collaborations with four core facilities that provide expertise and services in genomic and computational technologies and in data analysis and with funding for bold and innovative interdisciplinary research.

Our educational programs, including a Ph.D. program in Computational Biology and Bioinformatics and an undergraduate certificate course, train the current and next generation of researchers. We support undergraduates, graduate students, and senior researchers with a variety of classes, hands-on workshops, a summer fellowship program, diverse research opportunities, and lectures from experts from Duke and across the world.

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PHD IN COMPUTATIONAL BIOLOGY & BIOINFORMATICS

The mission of the the Duke University Program in Computational Biology and Bioinformatics is to train predoctoral students to become leaders at the interdisciplinary intersection of quantitative and biomedical sciences, using sophisticated computational methods to address contemporary challenges across biology and medicine.

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We're excited to offer graduate training in cutting-edge computational biology and bioinformatics. We encourage students take full advantage of the creativity-driven, highly interdisciplinary research environment at Duke. With participating faculty from Engineering, Medicine, and Arts & Sciences, students can choose from a wide range of research and training opportunities. I encourage you to explore our website for more information and to contact individual faculty members whose research interests you.

Student Profiles

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    Tiffany Tu
    1st year CBB Student; Rotating; Funded by T32 training grant 5T32-GM071340
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    Yuning Zhang
    5th Year CBB Student; Raluca Gordan Lab
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    Lanie Happ
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Trainee Profiles

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2nd Year CBB Student; David Beratan lab
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Kyle Moran
6th year CBB Student; Daniel Lew Lab- Funded by T32 training grant 5T32-GM071340.
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Danting Jiang
3rd year CBB Student; Neil Surana lab
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