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  • 1
    Online Resource
    Online Resource
    Chichester, West Sussex, U.K. ; : John Wiley,
    UID:
    almafu_9959328753602883
    Format: 1 online resource (xviii, 321 pages) : , illustrations (chiefly color)
    ISBN: 9780470741191 , 0470741198 , 9780470741177 , 0470741171 , 0470727233 , 9780470727232 , 1282123289 , 9781282123281
    Content: Edited by the team responsible for "Systems Bioinformatics: An Engineering Case-Based Approach" ranked number one in current sales for bioinformatics on Amazon.; Based on the course material from two popular MIT and Harvard interdisciplinary special studies courses which have an engineering-based, problem solving approach.; Describes current automation technology in areas of analysis, design, and integration, as well as providing basic biology concepts behind proteomics and genomics.; Identifies development opportunities that could inspire the next incremental improvement or disruptive techn.
    Note: The central dogma : from DNA to RNA, and to protein / Takashi Ohtsuki, Masahiko Sisido -- Genomes to proteomes / Ellen A. Panisko [and others] -- High-throughput DNA sequencing / Tarjei S. Mikkelsen -- Modeling a regulatory network using temporal gene expression data : why and how? / Sophie Lèbre and Gaëlle Lelandais -- Automated prediction of protein attributes and its impact on biomedicine and drug discovery / Kuo-Chen Chou -- Molecular interaction networks : topological and functional characterizations / Xiaogang Wu and Jake Y. Chen -- DNA synthesis / Jingdong Tian -- Computational and experimental RNA nanoparticle design / Isil Severcan [and others] -- New paradigms in droplet-based microfluidics and DNA amplification / Michael L. Samuels [and others] -- Synthetic networks / Jongmin Kim -- Molecular modeling of CYP proteins and its implication for personal drug design / Jing-Fang Wang [and others] -- Recent progress of bioinformatics in membrane protein structural studies / Hong-Bin Shen [and others] -- Trends in automation for genomics and proteomics / Gil Alterovitz [and others].
    Additional Edition: Print version: Automation in proteomics and genomics. Chichester, West Sussex, U.K. ; Hoboken, N.J. : John Wiley, 2009 ISBN 9780470727232
    Additional Edition: ISBN 0470727233
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Chichester, West Sussex :John Wiley & Sons,
    UID:
    almafu_9959327880502883
    Format: 1 online resource (xix, 275 pages)
    ISBN: 9780470669716 , 0470669713 , 9780470669709 , 0470669705 , 128265666X , 9781282656666
    Content: "In order to deal with issues that arise from the current increase of biological data in genomic and proteomic research and present it effectively to a wider audience, broader coverage of recent developments in the field of knowledge-based systems and their applications is required. Most current texts are either outdated or do not include all the aspects in knowledge and data-driven representation, integration, analysis, and interpretation. This collection aims to address this issue by providing comprehensive coverage of knowledge driven approaches to bioinformatics"--Provided by publisher.
    Note: Front Matter -- Fundamentals. Knowledge-Based Bioinformatics / Eric Karl Neumann -- Knowledge-Driven Approaches to Genome-Scale Analysis / Hannah Tipney, Lawrence Hunter -- Technologies and Best Practices for Building Bio-Ontologies / Mikel Eĝna Aranguren, Robert Stevens, Erick Antezana, Jesualdo Tom̀s Ferǹndez-Breis, Martin Kuiper, Vladimir Mironov -- Design, Implementation and Updating of Knowledge Bases / Sarah Hunter, Rolf Apweiler, Maria Jesus Martin -- Classical Statistical Learning in Bioinformatics / Mark Reimers -- Bayesian Methods in Genomics and Proteomics Studies / Ning Sun, Hongyu Zhao -- Automatic Text Analysis for Bioinformatics Knowledge Discovery / Dietrich Rebholz-Schuhmann, Jung-jae Kim -- Applications. Fundamentals of Gene Ontology Functional Annotation / Varsha K Khodiyar, Emily C Dimmer, Rachael P Huntley, Ruth C Lovering -- Methods for Improving Genome Annotation / Jonathan Mudge, Jennifer Harrow -- Sequences from Prokaryotic, Eukaryotic, and Viral Genomes Available Clustered According to Phylotype on a Self-Organizing Map / Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura -- Molecular Network Analysis and Applications / Minlu Zhang, Jingyuan Deng, Chunsheng V Fang, Xiao Zhang, Long Jason Lu -- Biological Pathway Analysis: An Overview of Reactome and Other Integrative Pathway Knowledge Bases / Robin A Haw, Marc E Gillespie, Michael A Caudy -- Methods and Challenges of Identifying Biomolecular Relationships and Networks Associated with Complex Diseases/Phenotypes, and Their Application to Drug Treatments / Mie Rizig -- Trends and conclusion -- Index. , (Publisher-supplied data) Chapter 1 Knowledge Based Bioinformatics Eric Karl Neumann Chapter 2 Knowledge-Driven Approaches to Genome-Scale Analysis Hannah Tipney and Lawrence Hunter Chapter 3 Technologies and Best Practices for Building Bio-Ontologies Mikel Egaa Aranguren, Robert Stevens, Jesualdo Tom s Fern ndez Breis, Erick Antezana, Vladimir Mironov and Martin Kuiper Chapter 4 Design, Implementation and Updating of Knowledge Bases Sarah Hunter, Rolf Apweiler and Maria Jesus Martin Chapter 5 Classical Statistical Learning in Bioinformatics Mark Reimers Chapter 6 Bayesian Methods in Genomics and Proteomics Studies Ning Sun and Hongyu Zhao Chapter 7 Automatic Text Analysis for Bioinformatics Knowledge Discovery Dietrich Rebholz-Schuhmann, Jung-jae Kim Chapter 8 Fundamentals of Gene Ontology Functional Annotation Varsha K. Khodiyar, Emily C. Dimmer, Rachael P. Huntley and Ruth C. Lovering Chapter 9 Methods for Improving Genome Annotation Jonathan Mudge, Jennifer Harrow Chapter 10 Sequences from all Prokaryotic, Eukaryotic and Viral Genomes Currently Available could be Clustered According to Phylotype on a Large-scale Self-Organizing Map Constructed with High-Performance Supercomputers. Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura Chapter 11 Molecular Network Analysis and Applications Minlu Zhang, Jingyuan Deng, Chunsheng V. Fang, Xiao Zhang and Long J. Lu Chapter 12 Reactome and Integrative Pathway Knowledge bases Robin A. Haw, Marc Gillespie, ÿ Michael A. Caudy Chapter 13 Methods and Challenges of Identifying Bio-Molecular Relationships and Networks Associated with Complex Diseases/Phenotypes and their Application to Drug Treatments. Mie Rizig.
    Additional Edition: Print version: Knowledge based bioinformatics. Chichester, West Sussex : John Wiley & Sons, 2010 ISBN 9780470748312
    Additional Edition: ISBN 0470748311
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
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  • 3
    UID:
    almahu_9948312364202882
    Format: xviii, 386 p. : , ill.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Series Statement: Artech House bioinformatics & biomedical imaging series
    Language: English
    Keywords: Electronic books.
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  • 4
    UID:
    almahu_9948312705102882
    Format: xviii, 321 p. : , ill. (chiefly col.).
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Note: section 1. Fundamentals of molecular and cellular biology -- section 2. Analysis via automation -- section 3. Design via automation -- section 4. Integration.
    Language: English
    Keywords: Electronic books.
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  • 5
    Online Resource
    Online Resource
    Norwood, MA :Artech House,
    UID:
    almafu_9959232116602883
    Format: 1 online resource (404 p.)
    Edition: 1st ed.
    ISBN: 1-59693-125-6
    Series Statement: Artech House bioinformatics & biomedical imaging series
    Content: 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.
    Note: Description based upon print version of 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. , Also available in print. , English
    Additional Edition: ISBN 1-59693-124-8
    Language: English
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