Lodhi / Muggleton Elements of Computational Systems Biology

1. Auflage 2010
ISBN: 978-0-470-55674-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 1, 400 Seiten, E-Book

Reihe: Wiley Series in Bioinformatics

Groundbreaking, long-ranging research in this emergent fieldthat enables solutions to complex biological problems
Computational systems biology is an emerging discipline that isevolving quickly due to recent advances in biology such as genomesequencing, high-throughput technologies, and the recentdevelopment of sophisticated computational methodologies. Elementsof Computational Systems Biology is a comprehensive referencecovering the computational frameworks and techniques needed to helpresearch scientists and professionals in computer science, biology,chemistry, pharmaceutical science, and physics solve complexbiological problems. Written by leading experts in the field, thispractical resource gives detailed descriptions of core subjects,including biological network modeling, analysis, and inference;presents a measured introduction to foundational topics likegenomics; and describes state-of-the-art software tools for systemsbiology.
* Offers a coordinated integrated systems view of defining andapplying computational and mathematical tools and methods tosolving problems in systems biology
* Chapters provide a multidisciplinary approach and range fromanalysis, modeling, prediction, reasoning, inference, andexploration of biological systems to the implications ofcomputational systems biology on drug design and medicine
* Helps reduce the gap between mathematics and biology bypresenting chapters on mathematical models of biologicalsystems
* Establishes solutions in computer science, biology, chemistry,and physics by presenting an in-depth description of computationalmethodologies for systems biology
Elements of Computational Systems Biology is intended foracademic/industry researchers and scientists in computer science,biology, mathematics, chemistry, physics, biotechnology, andpharmaceutical science. It is also accessible to undergraduate andgraduate students in machine learning, data mining, bioinformatics,computational biology, and systems biology courses.

Autoren/Hrsg.

Lodhi, Huma M.

Muggleton, Stephen H.

Inhaltsverzeichnis

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 theMeanings of Robustness (Jeremy Gunawardena).
3 In Silico Analysis of Combined Therapeutics Strategy forHearth 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 RussellHarmer).
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 MachineLearning Approaches (Jean-Philippe Vert).
8 Supervised Inference of Metabolic Networks from theIntegration of Genomic Data and Chemical Information (YoshihiroYamanishi).
9 Integrating Abduction and Induction in Biological InferenceUsing CF-Induciton (Yoshitaka Yamamoto, Katsumi Inoue, andAndrei Doncescu).
10 Analysis and Control of Deterministic and ProbabilisticBoolean Networks (Tatsuya Akutsu and Wai-Ki Ching).
11 Probabilistic Methods and Rate Heterogeneity (Tal Pupkoand Itay Mayrose).
PART IV: GENOMICS AND COMPUTATIONAL SYSTEMS BIOLOGY.
12 From DNA Motifs to Gene Networks: A Review of PhysicalInteraction Models (Panayiotis V. Benos and Alain B.Tchagang).
13 The Impact of Whole Genome In Silico Screening forNuclear Receptor-Binding Sites in Systems Biology (CarstenCarlberg and Merja Heinaniemi).
14 Environmental and Physiological Insights from MicrobialGenome Sequences (Alessandra Carbone and AnthonyMathelier).
PART V: SOFTWARE TOOLS FOR SYSTEMS BIOLOGY.
15 Ali Baba: A Text Mining Tool for Systems Biology (JorgHakenberg, Conrad Plake, and Ulf Leser).
16 Validation Issues in Regulatory Module Discovery (AlokMishra and Duncan Gillies).
17 Computational Imaging and Modeling for Systems Biology(Ling-Yun Wu, Xiaobo Zhou, and Stephen T.C. Wong).
Index.
Series Information.

Über Autor(innen)

HUMA M. LODHI, PhD, MBCS, is a researcher with theDepartment of Computing, Imperial College London. She has studiedat Royal Holloway, University of London and has previously workedas a researcher with the Department of Computer Science, Universityof Sheffield.
STEPHEN H. MUGGLETON, PhD, FAAAI, is a Professor ofMachine Learning, Department of Computing, Imperial College London,and is the Director of Modeling, BBSRC Centre for IntegrativeSystems Biology, Imperial College London. He is a Fellow of theAmerican Association for Artificial Intelligence and was aprofessor of machine learning, Department of Computing, Universityof York.
Both editors have published in leading international conferencesand journals.