Information Processign in Cells and Tissues [electronic resource] : 9th International Conference, IPCAT 2012, Cambridge, UK, March 31 – April 2, 2012. Proceedings / edited by Michael A. Lones, Stephen L. Smith, Sarah Teichmann, Felix Naef, James A. Walker, Martin A. Trefzer.

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Series: Lecture Notes in Computer Science ; 7223Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: XII, 278 p. 120 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642287923

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Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

570.285 23

LOC classification:

QH324.2-324.25

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In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 9th International Conference on Information in Cells and Tissues, IPCAT 2012, held in Cambridge, UK, in March/April 2012. The 13 revised full papers presented together with 26 extended abstracts were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in disciplines related to genetic and epigenetic networks, transcriptomics and gene regulation, signalling pathways and responses, protein structure and metabolic networks, patterning and rhythm generation, neural modelling and neural networks, biomedical modelling and signal processing, information processing and representation, and algorithmic approaches in computational biology.

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eBooks

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This book constitutes the refereed proceedings of the 9th International Conference on Information in Cells and Tissues, IPCAT 2012, held in Cambridge, UK, in March/April 2012. The 13 revised full papers presented together with 26 extended abstracts were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in disciplines related to genetic and epigenetic networks, transcriptomics and gene regulation, signalling pathways and responses, protein structure and metabolic networks, patterning and rhythm generation, neural modelling and neural networks, biomedical modelling and signal processing, information processing and representation, and algorithmic approaches in computational biology.