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

Contributor(s):

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781596931251
1596931256

Subject(s): Genre/Form:

Additional physical formats: Print version:: Systems bioinformatics.DDC classification:

572.80285 22

LOC classification:

QH324.2 .S95 2007eb

Online resources:

Click here to access online

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.

Item type:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references and indexes.

Print version record.

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.

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide

There are no comments on this title.

to post a comment.