The Center for Genomic and Computational Biology (GCB) at Duke University is a leading interdisciplinary center fostering collaboration among faculty from across the university to address complex challenges in genomic and computational biology. The GCB is dedicated to training researchers and advancing genomic technologies. Located in Durham, NC, at the primary address of 101 Science Drive, DUMC Box 3382, Durham, NC 27708, US, the Center's mission is to promote excellence in genomics and computational biology throughout Duke's campus.
GCB researchers achieve this through collaborative research initiatives, educational programs, and state-of-the-art core facilities. A key focus of the Center for Genomic and Computational Biology (GCB) is to encourage interdisciplinary research that seamlessly integrates laboratory work with quantitative analysis. The Center is committed to educating current and future researchers through comprehensive educational programs, offering undergraduates, graduate students, and senior researchers a range of classes, hands-on workshops, and valuable research opportunities.
The Center for Genomic and Computational Biology (GCB) also manages six core facilities that focus on developing and disseminating next-generation technologies and best practices in genomic and computational biology research. This ensures that researchers have access to the latest tools and methodologies to drive innovation and discovery. We invite the Center’s management to create a customized and exclusive company showcase and product listing on our platform.
Le Center for Genomic and Computational Biology (GCB) de l'université Duke est un centre interdisciplinaire de premier plan qui encourage la collaboration entre les professeurs de toute l'université afin de relever les défis complexes de la biologie génomique et computationnelle. Le GCB se consacre à la formation des chercheurs et à l'avancement des technologies génomiques. Situé à Durham, Caroline du Nord, à l'adresse principale de 101 Science Drive, DUMC Box 3382, Durham, NC 27708, États-Unis, la mission du Centre est de promouvoir l'excellence en génomique et en biologie computationnelle sur l'ensemble du campus de Duke.
Les chercheurs du GCB y parviennent grâce à des initiatives de recherche collaborative, des programmes éducatifs et des installations centrales de pointe. L'un des principaux objectifs du Center for Genomic and Computational Biology (GCB) est d'encourager la recherche interdisciplinaire qui intègre de manière transparente le travail de laboratoire à l'analyse quantitative. Le Centre s'engage à former les chercheurs actuels et futurs grâce à des programmes éducatifs complets, offrant aux étudiants de premier cycle, aux étudiants diplômés et aux chercheurs principaux une gamme de cours, d'ateliers pratiques et de précieuses possibilités de recherche.
Le Center for Genomic and Computational Biology (GCB) gère également six installations centrales qui se concentrent sur le développement et la diffusion des technologies de nouvelle génération et des meilleures pratiques en matière de recherche en biologie génomique et computationnelle. Cela garantit que les chercheurs ont accès aux outils et aux méthodologies les plus récents pour stimuler l'innovation et la découverte. Nous invitons la direction du Centre à créer une vitrine d'entreprise et une liste de produits personnalisées et exclusives sur notre plateforme.
Compare Center for Genomic and Computational Biology (GCB), Duke University with 3 companies in Biotechnology-Research
| Comparison Field |
Center for Genomic and Co...Main Company |
Rayca PrecisionView Profile |
Sixth ResearcherView Profile |
KariusView Profile |
|---|---|---|---|---|
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Founded Year
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— | 2022 | 2017 | 2014 |
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Company Size
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— | 11-50 | 1 employee | 51-200 |
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City
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Durham, NC | San Francisco, CA | Redwood City, CA | |
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Country
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United States | United States | United States | |
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Skills & Keywords
Comparing with main company
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8 Total Skills
Genomics
Computational Biology
Biotechnology
Research
Data Analysis
Bioinformatics
Duke University
Big Data
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13 Total
1 Common
12 Unique
Match
13%
Common Skills:
Bioinformatics
Unique Skills:
AI Drug Design
AI-based Clinical Trial
Clinical Genomics
Clinical Trial
Computational Drug Design
Drug Discovery
+6
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7 Total
1 Common
6 Unique
Match
13%
Common Skills:
Bioinformatics
Unique Skills:
Amplicon Sequencing
Genotyping
Metabarcoding
Metagenomics
New Generation Sequencing
Transcription factor - DNA binding
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14 Total
1 Common
13 Unique
Match
13%
Common Skills:
Bioinformatics
Unique Skills:
AI
Cell-free DNA
Clinical care
Data Science
Diagnostics
Global health
+7
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