Register now for the 2017 BioHealth
Capital Region Forum! Click on the 
image above for more information!

The Capital Area Advanced Research
and Education Network is an initiative
designed to build a high-performance
research and education infrastructure
serving the Washington, DC, and
Northern Virginia areas. CAAREN
will facilitate world-class research,
education and knowledge sharing in
the nation’s capital. Click the image
above to learn more!

CBI Transitions to the Milken Institute School of Public Health

The Computational Biology Institute is highlighted in the Milken Institute School of Public Health's "2016 Progress Report" as we make the exciting transition into the organization. Check us out on page 17!

"A review of bioinformatic pipeline frameworks" by Jeremy Leipzig

March 17, 2017

High-throughput bioinformatic analyses increasingly rely on pipeline frameworks to process sequence and metadata.

About the CBI

The Computational Biology Institute (CBI) at the George Washington University (GW) is an interdisciplinary effort building on GW’s strengths in life sciences and computational science, in addition to the wealth of research centers in the Washington, DC-area. By bringing together GW experts and scholars from partner institutions, CBI will provide cutting edge research, enable broad educational activities in computational biology and provide computational biology services to university researchers and public and private partners.

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Mason Modeling Days

The Department of Mathematical Sciences of George Mason University will host a 4-day Mason Modeling Days workshop June 28-July 1, 2017, in Arlington, VA. To learn more, click on the link above.


Canadian Bioinformatics Workshop Series

The CBW has developed a three-day workshop, taking place July 10-12, providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. For more information, click on the link above.


Big Data in Biomedicine Conference at Stanford University

Join researchers and leaders from academia, hospitals, government and industry for two days at Stanford Medicine to spark collaborations, address challenges, and identify actionable steps for using large-scale data analysis and technology to improve human health. See the event webpage above!

Corporate Partnerships

The Computational Biology Institute is proud to partner with:


Karna supports Federal agencies in the areas of science, research,

technology, lab, communications, and management consulting. 


AMPEL BioSolutions interrogates, analyzes, synthesizes and

interprets the world's biomedical knowledge to provide novel

solutions for clinical research questions.

Research News

Keith Crandall Quoted in Washington Post

April 25, 2017

Professor Keith Crandall, Director of the Computational Biology Institute, was interviewed for an article in the Washington Post.

Jimmy Bernot Awarded NMNH Reed Fellowship

April 07, 2017

Jimmy Bernot, PhD student and graduate research assistant with the Computational Biology Institute, was awarded the 2017 Edward & Phyllis Reed Fellowship.

Marcos Perez-Losada Published in Genetics and Evolution of Infectious Diseases

April 07, 2017

Assistant Research Professor Marcos Perez-Losada was published in Genetics and Evolution of Infectious Diseases in April 2017. 


Perez-Losada Published in Journal of Investigative Medicine

April 04, 2017

Marcos Perez-Losada and co-authors published "Nasopharyngeal microbiome in premature infants and stability during rhinovirus infection" in the Journal of Investigative Medicine. 

Keith Crandall Interviewed for Article in BioScience

March 30, 2017

Professor Keith Crandall, Director of the Computational Biology Institute, was recently interviewed for an article by Beth Baker, "Big Data Opens Promising Career Paths for Biologists".