Networks: From Biology to Theory (eBook, PDF)

Redaktion: Feng, Jianfeng; Qian, Minping; Jost, Jürgen

• Format: PDF

Produktbeschreibung

Bioinformatics is the hottest topic in computer science. Each leading computer science department in UK has a group specialising in Bioinformatics or Computational Biology (system biology). The most important journal (according to impact factor) in computer science is "Bioinformatics" (~6). In Warwick, the University contributed £2.5 million to set up a System Biology Centre and is applying to BBSRC for £8.5 million in funding.

At the moment, we have accumulated a huge body of data about single variables (genes, proteins, neurons etc), but we are still far away from being clear about holistic issues arising from metabolic networks, gene networks, protein networks and neuronal networks. Progress is made by collecting, visualizing, and analyzing data using disparate fields such as image processing, database design and machine learning, and then modelling networks and predicting network outcomes based upon this data.

This book brings together leading scientists (computer scientists, applied mathematicians, and biologists) from Germany, China, USA and UK to discuss and present the most up-to-date results in the area.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 318
• Erscheinungstermin: 4. September 2007
• Englisch
• ISBN-13: 9781846287800
• Artikelnr.: 37350049

Autorenporträt

Many invited speakers are quite senior people in the area. For example, Prof. Ritter and Prof. Jost won the Lebnitz Prize in Germany, which is the highest prize in Germany. There are many senior people from China as well and the invited speakers are from Qinhua, Peking, Fudan etc. University, covering almost all leading universities in China. Prof. Zhang, from Cold Spring USA (arguably the best institute in biology in the world), is the leading biologist working in the area.

Inhaltsangabe

Theory.- The Category of X-Nets.- Networks with Delays.- Dynamical Networks.- Applications in Neuroscience.- Neuronal Computation Using High-Order Statistics.- Neuronal Model of Decision Making.- Estimation of Spike Train Statistics in Spontaneously Active Biological Neural Networks.- Physiology and Related Models of Associative Visual Processing.- Gestalt Formation in a Competitive Layered Neural Architecture.- Applications in Bioinformatics.- Regulatory Signals in Genomic Sequences.- Dynamic Properties of Cell-Cycle and Life-Cycle Networks in Budding Yeast.- Understanding Protein-Protein Interactions: From Domain Level to Motif Level.- An Efficient Algorithm for Deciphering Regulatory Motifs.- The Stochastic Model and Metastability of the Gene Network.- Messenger RNA Information: Its Implication in Protein Structure Determination and Others.