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Systems bioinformatics [electronic resource] : an engineering case-based approach / Gil Alterovitz, Marco F. Ramoni, editors.

Contributor(s): Alterovitz, Gil | Ramoni, Marco F.
Material type: TextTextSeries: Artech House bioinformatics & biomedical imaging series: Publisher: Norwood, MA : Artech House, c2007Description: 1 online resource (xviii, 386 p.) : ill.ISBN: 9781596931251 (electronic bk.); 1596931256 (electronic bk.).Subject(s): Bioinformatics | Biological systems | Cytology -- Data processing | Proteomics -- Data processing | Bio-informatique | Syst�emes biologiques | Prot�eomique -- Informatique | Cytologie -- Informatique | COMPUTERS -- BioinformaticsGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Systems bioinformatics.DDC classification: 572.80285 Online resources: EBSCOhost
Contents:
Preface; Part I Introduction: Molecular and Cellular Biology; Chapter 1 Molecular and Cellular Biology: An Engineering Perspective; Chapter 2 Proteomics: From Genome to Proteome; Part II Analysis: Signal Processing; Chapter 3 Introduction to Biological Signal Processing at the Cell Level; Chapter 4 Signal Processing Methods for Mass Spectrometry; Part III Analysis: Control and Systems; Chapter 5 Control and Systems Fundamentals; Chapter 6 Modeling Cellular Networks; Part IV Analysis: Probabilistic Data Networks and Communications
Summary: Powerful engineering tools can help solve today?s complex biological and biomedical research challenges ? and this first-of-its-kind guide is paving the way . This trail-blazing work gives engineers a quantitative systems approach to bioinformatics research using computational tools drawn from technical disciplines. It presents biological processes in an engineering context to help engineers use their technical skills in solving novel biological problems and also to facilitate reverse engineering from biology in developing synthetic biological devices.
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Includes bibliographical references and indexes.

Description based on print version record.

Preface; Part I Introduction: Molecular and Cellular Biology; Chapter 1 Molecular and Cellular Biology: An Engineering Perspective; Chapter 2 Proteomics: From Genome to Proteome; Part II Analysis: Signal Processing; Chapter 3 Introduction to Biological Signal Processing at the Cell Level; Chapter 4 Signal Processing Methods for Mass Spectrometry; Part III Analysis: Control and Systems; Chapter 5 Control and Systems Fundamentals; Chapter 6 Modeling Cellular Networks; Part IV Analysis: Probabilistic Data Networks and Communications

Powerful engineering tools can help solve today?s complex biological and biomedical research challenges ? and this first-of-its-kind guide is paving the way . This trail-blazing work gives engineers a quantitative systems approach to bioinformatics research using computational tools drawn from technical disciplines. It presents biological processes in an engineering context to help engineers use their technical skills in solving novel biological problems and also to facilitate reverse engineering from biology in developing synthetic biological devices.

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Systems bioinformatics ©2007
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