The Lane Center for Computational Biology is seeking outstanding researchers who are developing computational methods in all areas of biology for tenure-track, research and teaching positions at all levels. Applications for the Lane Fellows Program are now being accepted. Read more...
Roeder and Autism Sequencing Consortium Identify 33 Genes That Contribute to Autism Risk
The list of genes identified with autism spectrum disorder (ASD) by deep DNA sequencing has expanded from nine to 33, according to a new study by an international research team led by the Autism Sequencing Consortium (ASC), including the Lane Center’s Kathryn Roeder.
Published in Nature, the study examined data on several types of rare, genetic differences in more than 14,000 DNA samples from parents, affected children and unrelated individuals. It is the largest sample to date, and provides evidence that small differences in some of possibly 1,000 risk genes contribute to autism. In addition to increasing the number of definitive autism genes almost fourfold, the team pinpointed more than 70 other likely ASD genes.
The genes identified involve critical brain processes, apparently affecting the formation of nerve networks and altering the function of synapses, the crucial structures that allow brain cells to communicate.
"This makes sense because typical development of brain cells require intricate coordination among thousands of genes and appropriate communication between cells to ensure development of the brain - the most complicated organ in the human body," said Roeder, a leading expert on statistical genomics and the genetic basis of complex disease. Read More…
Kingsford receives Moore Foundation "Big Data" Grant for Biomedical Sequence Analysis
Associate Professor of Computational Biology Carl Kingsford has been selected as one of 14 recipients of the Gordon and Betty Moore Foundation's "Moore Investigators in Data Discovery" awards. The unrestricted award of $1.5 millon will support Kingsford's efforts to develop efficient new methods for searching the massive amounts of DNA and RNA sequencing data now available world wide. Read more...
CPCB graduate Joshua Kangas featured in SLAS
While still a student, Joshua Kangas, Ph.D., made a life-changing decision. Instead of moving along his planned career path in education, he decided to partner with science and business experts to launch a company that would help enhance the efficiency of drug discovery efforts. Read more...
MSBIC student Jing Li selected as 2014 James R. Swartz Entrepreneurial Fellow
Jing Li is one of 10 CMU students in Carnegie Mellon selected for this fellowship, which fast-tracks the careers of selected graduate students who are passionate about entrepreneurship in the technology arena. The program will help develop their potential and leadership skills through hands-on experiences, networking, mentoring and courses in entrepreneurship. Jing will receive a summer internship at a top-tier venture-backed startup, travel stipend for two treks to Silicon Valley and mentoring by CIE faculty and staff, venture capitalists, and C-level executives in high-tech companies in California's Silicon Valley.
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.