Carnegie Mellon engineering researchers automate analysis of protein patterns

In a research article in the Journal of Proteome Research, Newberg and Murphy, the Ray and Stephanie Lane Professor of Computational Biology and a professor in the departments of Biological Sciences, Biomedical Engineering and Machine Learning at Carnegie Mellon, described how they applied their tools to analyze images of eight major subcellular location patterns with a high degree of accuracy. They pointed to their work as a strong indication that automated analysis of the whole atlas is feasible, and they plan to continue to study and characterize all of the proteins in the atlas.

“Knowing the exact location of thousands of proteins in human cells will enable a much better understanding of how these cells work and could ultimately advance the detection and diagnosis of serious diseases,” Murphy said.

About Carnegie Mellon: Carnegie Mellon is a private research university with a distinctive mix of programs in engineering, computer science, robotics, business, public policy, fine arts and the humanities. More than 10,000 undergraduate and graduate students receive an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration, and innovation. A small student-to-faculty ratio provides an opportunity for close interaction between students and professors. While technology is pervasive on its 144-acre Pittsburgh campus, Carnegie Mellon is also distinctive among leading research universities for the world-renowned programs in its College of Fine Arts. A global university, Carnegie Mellon has campuses in Silicon Valley, Calif., and Qatar, and programs in Asia, Australia and Europe. For more, see www.cmu.edu.