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Graduate School of Biomedical Sciences

Quantitative & Computational Biosciences Graduate Program Research

Master
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Research Resources

Description

As you begin your career in research it is impossible to predict where your investigations will need. Therefore it is essential to have access to diverse resources, not only equipment but also experienced individuals available to help you identify the resources you need and master their use.

Terms

Computational and Integrative Biomedical Research Center

Item Definition

The CIBR Center helps students and faculty address the broad range of analytical problems posed by the complexity of high throughput biological datasets. The goal of the center is to help bridge the translational gap from data to models, and from models to drug discovery and personalized therapy by fostering collaborations and developing original quantitative approaches to biological and clinical problems.

Advanced Technology Cores

Item Definition

Every student at BCM has access to the state-of-the-art instrumentation and technologies of the Advanced Technology Core laboratories as well as training in how, when and why to use these tools. Each core is run by faculty and technicians with highly specialized expertise in the technologies provided. Ongoing assessment of cores ensures that new resources are added as technologies evolve and the needs of our researchers change.

Texas Medical Center

Item Definition

As a member of the Texas Medical Center, Baylor College of Medicine leverages the resources of the world’s largest medical complex. In addition to supporting collaborations with the many hospitals, schools and research institutes in the TMC, the Center also facilitates state of the art research through specialized resources, including the TMC Innovation Institute, the TMC Library, and TCM Health Policy Institute.

Cullen

Item Term
More Resources

Item Definition

The entities listed here are just a small sampling of the inter-disciplinary research resources at BCM. 

Content

Aleksandar Milosavljevic, professor of molecular and human genetics and director of the Quantitative & Computational Biosciences program and Vitor Onuchic, graduate student, discuss how their new method of researching tumors may improve diagnosis and treatment.

View the paper in PubMed