computational biology
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computational biology
n.
The branch of biology in which computers are used to study complex biological systems such as genetic sequences and the mechanism of protein folding.
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The Computational Biology degree programme is scheduled to be started in Fall 2014, according to CMUQ's assistant teaching professor of biology, Kenneth Hovis.
Computational Biology holds the exclusive US license to the White Institute's patent for "Chromosome-Wide Analysis of Protein-DNA Interactions.
This alliance is another strong validation of our continuing assertion that Compugen's unique computational biology research results in the discovery of meaningful biological information that would otherwise be extremely difficult to discover solely through experimentation.
LEADS is a computational biology platform that analyzes genomic and expressed sequence data to enable rapid discovery of genes, splice variants and gene function.
Key factors driving demand for these applications include the growth of drug designing, disease modeling and personalized medicine applications and the growing usage of computational biology for functional and structural genomics, epigenomics and metagenomics for the analysis of protein transcription, protein-protein interactions, gene sequencing and expression and 3-dimensional protein structure analysis.
The information should be useful to researchers in computational biology and bioinformatics but also to applied mathematicians and scientists willing to enter the emerging field of systems biology.
Combinatorial pattern matching algorithms are used to solve computational biology problems that arise in the analysis of genomic, transcriptomic, proteomic, metabolomic, and interatomic data.
To accomplish this, we will focus our initial efforts in four broad areas of environmental health sciences: basic research to understand how environmental exposures fundamentally alter human biology; human health and diseases that are caused at least in part by environmental exposures, and the use of environmental exposures to understand the etiology and pathogenesis of complex human diseases; global environmental health initiatives that support research programs to understand the health risks for populations that are excessively exposed as well as their solutions; and training and education efforts to develop comprehensive approaches that integrate environmental health sciences with related disciplines in basic science, computational biology, medicine, and public health.
Writing for researchers and graduate and advanced undergraduate students in computational biology, biostatistics, bio-informatics, and systems biology, they cover the modeling, simulation, and meaning of gene networks; inference of gene networks; the analysis of gene networks; and systems approaches to diseases.
In this publication, Mondaini (Universidade Federal do Rio de Janeiro, Brazil) and Dilao (Instituto Superior Technico, Portugal) bring together the proceedings of the BIOMAT 2007 International Symposium on Mathematical and Computational Biology, held in November 2007 in Rio de Janeiro, Brazil, and attended by physicists, mathematicians, chemists, biologists, and other scientists from around the world.
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