Finding deletions and duplications in the human genome: Machine learning for diagnosis of genetic variations
A random-forest, machine-learning method for identifying copy number variation from exome-sequencing data. A forest of hundreds of decision trees is trained on a validated set of genetic deletions and duplication, the model built from these trees can then be used to accurately identify copy number variation in sample exome-sequencing data. Credit: Girirajan Laboratory, Penn State
Xin Zhang honored as Pew Scholar in the Biomedical Sciences
Xin Zhang
Cuyler Luck earns John Sr. and Kimlyn Patishnock Grand Prize at Undergraduate Research Exhibition
All four Penn State Goldwater candidates earn scholarships
Student immersion into the “Shark Tank”

Immersing students in an active and exciting learning experience.

Watching viruses at work
Joyce Jose in the laboratory.

Scientist are striving to understand virus biology through live imaging

Intellectual Property

Research leading to practical benefits for society

Exposomics make fracking safer
Frank Dorman reviewing containers of samples in his research lab.

In the past 20 years, the world has sought to decrease carbon emissions and move toward greener energy sources 

BMB Department celebrates employee Years of Service
Science Achievement Graduate Fellows
Fellowship namesake scientist inspiring the fellowship names for each department.
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