We are very pleased that six papers by members of the Computational Biology Department (CBD) have been accepted for presentation at ISMB 2018, one of the most selective computational biology conferences. ISMB 2018 accepted 65 papers out of a total of 331 submissions. This year’s results continue Carnegie Mellon’s leadership in accepted papers at ISMB […]
Two first year students in our Computational Biology Ph.D. program and one recent graduate of the M.S. in Computational Biology program have had papers accepted for ISMB 2018, a top conference in Computational Biology and Bioinformatics. Xiangrui Zeng’s paper, titled “An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification, proposes […]
Multiple members of Carl Kingsford’s group have had their papers accepted to ISMB 2018.
Members of the Computational Biology Department have developed a directory that can be used to search for companies and organizations that provide internships and full-time opportunities to students in computational biology.
Associate Professor Carl Kingsford & Lane Fellow Heewook Lee have published a paper in Genome Biology. The paper discusses the importance of accurate typing of human leukocyte antigen (HLA). HLA genes play important roles in immune responses and disease genesis. Previously available computational methods are database-matching approaches and their outputs are inherently limited by the […]
Andreas Pfenning, an assistant professor of Computational Biology, develops computational and experimental genomic techniques to study how genetic differences influence complex traits, with a focus on the brain. He applies these techniques across species to study how the genome evolved for speech and language production. His group also studies the genetic mechanisms of Alzheimer’s disease and […]
Dan DeBlasio, along with his PhD advisor John Kececioglu,
recently published a book titled “Parameter Advising for Multiple Sequence
Alignment”, which details a method to select input-specific parameter
choices for the fundamental problem of multiple sequence alignment.
Aligning DNA sequences has been and remains one of the fundamental tool in computational biology. It is widely used to compare genomes, to find SNPs and genome variations, and as a step in many other bioinformatics pipelines. MUMmer, a widely used alignment package in genomics, was originally published in 1999 when the number and the size of […]
Future Applications Could Range From fMRI Data to Social Networks and More Researchers at Carnegie Mellon University have developed a new dynamic statistical model to visualize changing patterns in networks, including gene expression during developmental periods of the brain. Published in the Proceedings of the National Academy of Sciences, the model now gives researchers a […]
Yang Yang, a third-year PhD student in the Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology (CPCB), joined the Computational Biology Department in January 2016 and has been working on computational genomics. Yang received her B.E. degree in Automation and M.S. degree in Control Science and Engineering both from Tsinghua University in China. […]