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SPOTLIGHT

GCB to transition to center within Biostatistics and Bioinformatics
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GCB Academy Registration Now Open
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Stay up-to-date with the latest information from Duke regarding COVID-19
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Training program sends Duke grad students to Berlin
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Here are summaries of a selection of the papers published by GCB faculty in July 2022:

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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...

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New platform quickly analyzes bacterial strains in the microbiome

...
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Events

  • Duke Single-Cell Science Colloquium

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GCB Shared Resources support Duke researchers and their collaborators working on genomic and proteomic projects.

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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 offers cutting-edge mass spectrometry services for protein and metabolite characterization and quantitation.

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COMPUTATIONAL
SOLUTIONS

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.

CBB PHD

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.

Message from the Director

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
  • Yuning Zhang
    5th Year CBB Student; Raluca Gordan Lab
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    Lanie Happ
    6th year CBB Student; Sandeep Dave Lab- Funded by T32 training grant 5T32-GM071340.

Trainee Profiles

Niven Singh
Niven Singh
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Kyle Moran
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Danting Jiang
Danting Jiang
3rd year CBB Student; Neil Surana lab