Genomic Signal Processing Laboratory
Dr. Dougherty's Christmas Party, December 2011
Genomic Signal Processing (GSP) is the engineering discipline that studies the processing of genomic signals. It encompasses various methodologies concerning expression profiles:
- Control, and
- Statistical and dynamical modeling of gene networks.
Norbert Wiener (Cybernetics, 1948): “As far back as four years ago, the group of scientists about Dr. Rosenblueth and myself had already become aware of the essential unity of the set of problems centering about communication, control, and statistical mechanics, whether in the machine or in living tissue.”
Albert Einstein (1945): “The reciprocal relationship of epistemology and science is of noteworthy kind. They are dependent upon each other. Epistemology without contact with science becomes an empty scheme. Science without epistemology is – insofar as it is thinkable at all – primitive and muddled.”
Conrad Waddington (How Animals Develop, 1935): “To say that an animal is an organism means in fact two things: firstly, that it is a system made up of separate parts, and secondly, that in order to describe fully how any one part works one has to refer either to the whole system or to the other parts.”
- Call for Papers: Special Issue on Sequence and Genome Analysis of Eurasip Journal on Bioinformatics and Systems Biology
The aim of this special issue is to present the recent advances and existing state-of-the-art techniques, algorithms and applications in the broad area of sequence and genome analysis. Read more...
Paper submission deadline (extended): May 31, 2012.
Download the CFP here.
- GSP Lab Professor Receives NSF CAREER Award
Dr. Byung-Jun Yoon, assistant professor in the GSP Lab of the Department of Electrical and Computer Engineering at Texas A&M University, has received the prestigious Faculty Early Career Development (CAREER) Award sponsored by the National Science Foundation (NSF).
Dr. Yoon received his CAREER award for his proposal, "Models and Algorithms for Comparative Analysis of Biological Networks." Read more...