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Program Policy Statement for MS in Bioinformatics and Computational Biology Computational Science Concentration

, 2018
Center for Bioinformatics & Computational Biology
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Computing in Bioinformatics and Computational Biology: A Collection

IEEE Distributed Systems Online, 2007
exaly   +2 more sources

Bioinformatics with soft computing

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2006
Soft computing is gradually opening up several possibilities in bioinformatics, especially by generating low-cost, low-precision (approximate), good solutions. In this paper, we survey the role of different soft computing paradigms, like fuzzy sets (FSs), artificial neural networks (ANNs), evolutionary computation, rough sets (RSes), and support vector
Sushmita Mitra, Yoichi Hayashi
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Soft Computing in Bioinformatics

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005
This tutorial will go over the basics of creating and using similarities between gene products, i.e., proteins or mRNA. We discuss the various categories of similarity measures beginning with the traditional BLAST scores on gene product sequences and culminating with recent research results in the application of fuzzy set theory to this problem ...
James M. Keller, Mihail Popescu
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Computational Intelligence in Bioinformatics

Neurocomputing, 2010
Contains fulltext : 83589.pdf (Publisher’s version ) (Closed access)
Chetty, M., Ngom, A., Marchiori, E., Marchiori, E.   +3 more
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"Computational Biology and Bioinformatics"

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
I will discuss the current state of progress in high performance computing, biomolecular simulation and algorithms as we are applying them to understanding a range of problems in the use of information technology to understand biological systems. Examples will include the use of pattern discovery algorithms to understand gene expression, the use of ...
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Advances in Computational Intelligence and Bioinformatics

Soft Computing, 2010
Bioinformatics is the application of information technology and computer science to the field of molecular biology. The potential range of applications of bioinformatics techniques is quite large, including ontologies in biomedicine, biomolecular dynamics, comparative genomics, gene expression analysis, protein structure prediction, protein expression ...
Francesco Masulli, Roberto Tagliaferri
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Computer science and bioinformatics

Communications of the ACM, 2005
In barely half a century computer science has grown from infancy to maturity. Employment in computer science was assured until a few years ago. Today, however, like in the 1960s, when demand for physicists waned, computer scientists are eager to explore new possibilities in promising fields.
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