Lane Center hosts "Automated Personal Genome Analysis for Clinical Advisors: Challenges and Solutions"
The Lane Center hosted "Automated Personal Genome Analysis for Clinical Advisors: Challenges and Solutions" May 3-5, bringing together researchers and clinicians to assess the state of the field and to stimulate development of open source solutions. Emphasis was placed upon the ability to predict disease risk and treatment responsiveness from personal genome information and developing machine learning software to model the relationships between complex diseases and genome variation.
The conference was supported through a generous gift from Jonathan Rothberg and Family.
Shan Zhong defends Ph.D. thesis
Congratulations to Shan Zhong, who successfully defended his thesis entitled "Computational Study of Transcriptional Regulation - From Sequence to Expression" on April 16. Shan has accepted a position as a Bioinformatics Scientist in the Molecular Anatomic Pathology Laboratory at UPMC Presbyterian. Shan was advised by Dr. Ziv Bar-Joseph.
Seyoung Kim named 2013 Sloan Research Fellow
Lane Center faculty member Seyoung Kim was named a 2013 Sloan Research Fellow in the area of Computational and Evolutionary Molecular Biology and was one of four recipients this year from Carnegie Mellon (out of 126 total awarded across the United States and Canada).
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Ray and Stephanie Lane Center for Computational Biology
The Lane Center for Computational Biology at Carnegie Mellon University seeks to realize the potential of machine learning for expanding our understanding of complex biological systems. A primary goal of the center is to develop computational tools that will enable automated creation of detailed, predictive models of biological processes, including automated experiment design and data acquisition. We anticipate that these efforts will not only lead to deep biological knowledge but also to tools for individualized diagnosis and treatment of cancer and other diseases. The Lane Center builds on the strong history of computational and interdisciplinary research at Carnegie Mellon.