Elements Of Computational Systems Biology
By: Lodhi, Huma M. (Author), Muggleton, Stephen (Author).
John Wiley and Sons Ltd. Published: 19/02/2010. Audience Guide: Professional & Vocational.
Hardback. Sourced from U.S.A.
This comprehensive reference presents cutting-edge and long-ranging research in computational systems biology. It is written by leading experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design and medicine. Its chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the applications of computational systems biology. These chapters target topics and solutions in computer science, mathematics, physics, biology, and the pharmaceutical and biomedical areas. Item Details
ISBN10/13: 0470180935/9780470180938
TITLE: Elements of Computational Systems Biology
CONTRIBUTORS: Lodhi, Huma M. (Author), Muggleton, Stephen (Author)
IMPRINT: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
PUBLISHER: John Wiley and Sons Ltd
FORMAT: Hardback
PUBLICATION DATE: 19/02/2010
SUBJECT: Computers/Internet, Computers/Internet, Scientific, Technical, Medical, Applications Of Computing, General Theory Of Computing, General
PAGES: 456
AUDIENCE GUIDE: Professional & Vocational
CONTENTS: Part 1: Overview. Chapter 1: Advances in Computational Methodologies for Systems Biology (Huma M. Lodhi, Imperial College London, UK). Part 2: Biological Network Modelling in System Biology. Chapter 2: Simulating Filament Dynamics in Cellular Systems (Wilbur E. Channels and Pablo A. Iglesias, The Johns Hopkins University, USA). Chapter 3: From DNA Motifs to Gene Networks: A Review of the Physical Interaction Models (Panayiotis V. Benos and Alain B. Tchagang, University of Pittsburgh, USA). Chapter 4: Rule-based Modelling and Model Refinement (Vincent Danos and Elaine Murphy, University of Edinburgh,UK). Chapter 5: In Silico Analysis of Combined Therapeutic Strategy for Heart Failure (Sung-Young Shin, Korea Advanced Institute of Science and Technology, Korea, Sang-Mok Choo, University of Ulsan, Korea, Tae-Hwan Kim and Kwang-Hyun Cho, Korea Advanced Institute of Science and Technology, Korea). Chapter 6: Models in Systems Biology: The Parameter Problem and the Meanings of Robustness (Jeremy Gunawardena, Harvard Medical School, USA). Part 3: Biological Network Inference and Analysis in System Biology. Chapter 7: Reconstruction of Biological Networks by Supervised Machine Learning Approaches, (Jean-Philippe Vert, Mines ParisTech - Institut Curie, France). Chapter 8: Metabolic Network Inference from the Integration of Genomic Data and Chemical information (Yoshihiro Yamanishi, Mines ParisTech - Institut Curie, France). Chapter 9: Analysis and Control of Deterministic and Probabilistic Boolean Networks (Tatsuya Akutsu, Kyoto University and Wai-Ki Ching, University of Hong Kong). Chapter 10: Integrating Abduction and Induction in Biological Inference using CF-Induction (Katsumi Inoue, National Institute of Informatics, Japan, Yoshitaka Yamamoto, The Graduate University for Advanced Studies, Japan and Andrei Doncescu, LAAS CNRS, France). Part 4: Genomics and Systems Biology. Chapter 11: The Impact of Whole Genome In Silico Screening for Nuclear Receptor Binding Sites in Systems Biology (Carsten Carlberg and Merja Heinaniemi, Universite du Luxembourg, Luxembourg). Chapter 12: Probabilistic methods and rate heterogeneity (Tal Pupko and Itay Mayrose, Tel Aviv University, Israel). Chapter 13: Environmental and Physiological Insights from Microbial Genome Sequences (Alessandra Carbone and Anthony Mathelier, Universite Pierre et Marie Curie-Paris 6, France). Part 5: System Biology Tools and Experimental Validation. Chapter 14: Ali Baba: A Text Mining Tool for Complex Biological Systems (Jorg Hakenberg, Arizona State University USA, Conrad Plake, Technische University Dresden, Germany and Ulf Leser, Humboldt-University zu Berlin, Germany). Chapter 15: Systems Biology: A (Natural) Computing Point of View (Matteo Cavaliere, Microsoft Research, Itlay). Chapter 16: Validation Issues in Regulatory Module Discovery Networks (Alok Mishra and Duncan Gillies, Imperial College London, UK). Chapter 17: Computational Imaging and Modeling for System Biology (Ling-Yun Wu, Xiaobo Zhou and Stephen TC Wong, The Methodist Hospita, Weill Cornell Medical College,USA).
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