Computational Biomedicine Nyu


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Computational Methods for Macromolecules: Challenges and Applications


Computational Methods for Macromolecules: Challenges and Applications

Author: Tamar Schlick

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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This special volume collects invited articles by participants of the Third International Workshop on Methods for Macromolecular Modeling, Courant Institute of Mathematical Sciences, Oct. 12-14, 2000. Leading developers of methods for biomolecular simulations review advances in Monte Carlo and molecular dynamics methods, free energy computational methods, fast electrostatics (particle-mesh Ewald and fast multipole methods), mathematics, and molecular neurobiology, nucleic acid simulations, enzyme reactions, and other essential applications in biomolecular simulations. A Perspectives article by the editors assesses the directions and impact of macromolecular modeling research, including genomics and proteomics. These reviews and original papers by applied mathematicians, theoretical chemists, biomedical researchers, and physicists are of interest to interdisciplinary research students, developers and users of biomolecular methods in academia and industry.

Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare


Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare

Author: Cannataro, Mario

language: en

Publisher: IGI Global

Release Date: 2009-05-31


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"This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.

Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration


Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration

Author: Prince, Violaine

language: en

Publisher: IGI Global

Release Date: 2009-03-31


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"This book provides relevant theoretical frameworks and the latest empirical research findings in biomedicine information retrieval as it pertains to linguistic granularity"--Provided by publisher.