All Shops

Go to British Wildlife

6 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published six times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £25 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £18 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Bioinformatics

Elements of Computational Systems Biology

By: Huma M Lodhi and Stephen Muggleton
Elements of Computational Systems Biology
Click to have a closer look
Select version
  • Elements of Computational Systems Biology ISBN: 9780470180938 Hardback Mar 2010 Usually dispatched within 4 days
Selected version: £80.50
About this book Contents Customer reviews Biography Related titles

About this book

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.


Preface. Contributors. PART I: OVERVIEW. 1 Advances in Computational Systems Biology (Huma M. Lodhi). PART II: BIOLOGICAL NETWORK MODELING. 2 Models in Systems Biology: The Parameter Problem and the Meanings of Robustness (Jeremy Gunawardena). 3 In Silico Analysis of Combined Therapeutics Strategy for Hearth Failure (Sung-Young Shin, Tae-Hwan Kim, Kwang-Hyun Cho, and Sang-Mok Choo). 4 Rule-Based Modeling and Model Refinement (Elaine Murphy, Vincent Danos, Jerome Feret, Jean Krivine, and Russell Harmer). 5 A (Natural) Computing Perspective on Cellular Processes (Mateo Cavaliere and Tommaso Mazza). 6 Simulating Filament Dynamics in Cellular Systems (Wilbur E. Channels and Pablo A. Iglesias). PART III: BIOLOGICAL NETWORK INFERENCE. 7 Reconstruction of Biological Networks by Supervised Machine Learning Approaches (Jean-Philippe Vert). 8 Supervised Inference of Metabolic Networks from the Integration of Genomic Data and Chemical Information (Yoshihiro Yamanishi). 9 Integrating Abduction and Induction in Biological Inference Using CF-Induciton (Yoshitaka Yamamoto, Katsumi Inoue, and Andrei Doncescu). 10 Analysis and Control of Deterministic and Probabilistic Boolean Networks (Tatsuya Akutsu and Wai-Ki Ching). 11 Probabilistic Methods and Rate Heterogeneity (Tal Pupko and Itay Mayrose). PART IV: GENOMICS AND COMPUTATIONAL SYSTEMS BIOLOGY. 12 From DNA Motifs to Gene Networks: A Review of Physical Interaction Models (Panayiotis V. Benos and Alain B. Tchagang). 13 The Impact of Whole Genome In Silico Screening for Nuclear Receptor-Binding Sites in Systems Biology (Carsten Carlberg and Merja Heinaniemi). 14 Environmental and Physiological Insights from Microbial Genome Sequences (Alessandra Carbone and Anthony Mathelier). PART V: SOFTWARE TOOLS FOR SYSTEMS BIOLOGY. 15 Ali Baba: A Text Mining Tool for Systems Biology (Jorg Hakenberg, Conrad Plake, and Ulf Leser). 16 Validation Issues in Regulatory Module Discovery (Alok Mishra and Duncan Gillies). 17 Computational Imaging and Modeling for Systems Biology (Ling-Yun Wu, Xiaobo Zhou, and Stephen T.C. Wong). Index. Series Information.

Customer Reviews


HUMA M. LODHI, PhD, MBCS, is a researcher with the Department of Computing, Imperial College London. She has studied at Royal Holloway, University of London and has previously worked as a researcher with the Department of Computer Science, University of Sheffield. STEPHEN H. MUGGLETON, PhD, FAAAI, is a Professor of Machine Learning, Department of Computing, Imperial College London, and is the Director of Modeling, BBSRC Centre for Integrative Systems Biology, Imperial College London. He is a Fellow of the American Association for Artificial Intelligence and was a professor of machine learning, Department of Computing, University of York. Both editors have published in leading international conferences and journals.

By: Huma M Lodhi and Stephen Muggleton
Current promotions
Backlist BargainsYaleOrder your free copy of our 2018 equipment catalogueBritish Wildlife