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About CBI

Now more than ever before, the power to turn huge volumes of data into information about our world has put the answers to some of life’s most challenging questions within our grasp. The George Washington University’s Computational Biology Institute (CBI) brings together leading faculty in biology, medicine and computing to harness this information, opening new doors of discovery that have the potential to benefit millions. CBI is also maximizing the university’s unique relationships in the nation’s capital to form research partnerships and spotlight cutting-­‐edge topics that enhance human and environmental health. By blending its own skills with the expertise of engineers, mathematicians, statisticians, clinicians and others, the CBI is contributing to knowledge and resources that are used by researchers on a global scale, influencing how the world uses science and technology to solve its most pressing problems. With these truly incomparable resources and expertise, the CBI performs cutting-edge research and helps raise awareness of scientific advancements that improve our health, environment and overall quality of life.

 

 

  

RANKED #11

U.S. News & World Report's List of Best Public Health Graduate Programs

  

LOCATION

Washington D.C.'s only Public Health School

  

RESEARCH

Shaping Public Health Policy and Practice

  

FACULTY

130 Full-time Faculty Leading our Students, and 300 Part-time Faculty.

 

Featured Publications

 

Estimating rare disease prevalence and costs in the USA: a cohort study approach using the Healthcare Cost Institute claims data

October 14, 2024

Estimating rare disease prevalence and costs in the USA: a cohort study approach using the Healthcare Cost Institute claims data

Taxonomic composition of bacteriomes. Venn diagrams representing the core unique and shared microbiomes in cows faecal material and milk samples, and mouse faecal material and mammary tissues. Bacterial species detected in A cows faecal material, B cows milk, C mouse faecal material and D mouse mammary tissues. E Unique and shared bacterial species in CM, and F unique and shared bacterial species in H metagenomes of both cows and mice. Bacterial species shared in cow and mouse mastitis

Induction of mastitis by cow-to-mouse fecal and milk microbiota transplantation causes microbiome dysbiosis and genomic functional perturbation in mice

October 14, 2024

To understand the host-tropism phenomena of bovine-tropic mastitis microbiomes, we developed a cow-to-mouse mastitis model.

Differential expression of single-cell RNA-seq data using Tweedie models

October 14, 2024

To model the technological variability in cross-platform scRNA-seq data, here we propose to use Tweedie generalized linear models.

The Hi-C contact heat maps obtained after manual correction of genome assemblies. A, A. coluzzii AcolMOP1. B, A. arabiensis AaraD3. From left to right in each heat map, chromosome X, chromosome 2 (2R+2L),  chromosome 3 (3R+3L). The heat maps were produced by JBAT.

Chromosome-level genome assemblies of the malaria vectors Anopheles coluzzii and Anopheles arabiensis

October 14, 2024

We produced chromosome-level genome assemblies for A. coluzzii and A. arabiensis using Oxford Nanopore sequencing technology and Hi-C scaffolding approach.

 

Explore More Publications

 

Projects 

omeClust

We developed omeClust, a generic tool for omics community detection, and applied it to the dissimilarity matrix of the genetic sequences of previous strains of this coronavirus to the newest ones, identifying the sites of genetic difference.

 

Earth Biogenome Project

The CBI works closely with the EBP, which proposes to sequence all life on earth! Click the image above to find out more about the project.

Global Invertebrate Genomics Alliance

GIGA is a collaborative network of researchers seeking to tackle major scintific challenges in the field of genomics. To find out more, click on the link above.

FDA ARGOS

FDA-ARGOS database updates may help researchers rapidly validate diagnostic tests and use qualified genetic sequences to support future product development.