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  • 1
    Book
    Book
    Oxford :BIOS Scientific Publ.,
    UID:
    almahu_BV014856253
    Format: VIII, 257 S. : Ill., graph. Darst.
    Edition: 1. publ.
    ISBN: 1-85996-272-6 , 978-1-85996-272-5
    Series Statement: The instant notes series
    Language: English
    Subjects: Biology
    RVK:
    RVK:
    Keywords: Molekulare Bioinformatik ; Bioinformatik ; Lehrbuch - Bioinformatik
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    New York, NY, :Humana Press,
    UID:
    almahu_BV044720960
    Format: x, 221 pages : , illustrations ; , 26 cm.
    ISBN: 978-1-4939-6751-3 , 1-4939-6751-7
    Series Statement: Methods in molecular biology 1552
    Note: Includes bibliographical references and index
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-4939-6753-7
    Language: English
    Subjects: Computer Science , Biology
    RVK:
    RVK:
    RVK:
    RVK:
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  • 3
    UID:
    edocfu_9959000025702883
    Format: 1 online resource (X, 221 p. 59 illus., 17 illus. in color.)
    Edition: 1st ed. 2017.
    ISBN: 1-4939-6753-3
    Series Statement: Methods in Molecular Biology, 1552
    Content: This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule, cellular level, and to organism level and the use of HMMs in unravelling the complex mechanisms that govern these complex systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Hidden Markov Models: Methods and Protocols aims to demonstrate the impact of HMM in biology and inspire new research.
    Note: Introduction to Hidden Markov Models and its Applications in Biology -- HMMs in Protein Fold Classification -- Application of Hidden Markov Models in Biomolecular Simulations -- Predicting Beta Barrel Transmembrane Proteins using HMMs -- Predicting Alpha Helical Transmembrane Proteins using HMMs -- Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization -- Analyzing Single Molecule FRET Trajectories using HMM -- Modelling ChIP-seq Data using HMMs -- Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence -- Computationally Tractable Multivariate HMM in Genome-wide Mapping Studies -- Hidden Markov Models in Population Genomics -- Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes using HMMs and Hierarchical Bayesian Modeling Approaches -- Finding RNA-Protein Interaction Sites using HMM -- Automated Estimation of Mouse Social Behaviours Based on a Hidden Markov Model -- Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications. .
    Additional Edition: ISBN 1-4939-6751-7
    Language: English
    Keywords: Laboratory Manuals. ; Laboratory manuals.
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    edoccha_9959000025702883
    Format: 1 online resource (X, 221 p. 59 illus., 17 illus. in color.)
    Edition: 1st ed. 2017.
    ISBN: 1-4939-6753-3
    Series Statement: Methods in Molecular Biology, 1552
    Content: This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule, cellular level, and to organism level and the use of HMMs in unravelling the complex mechanisms that govern these complex systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Hidden Markov Models: Methods and Protocols aims to demonstrate the impact of HMM in biology and inspire new research.
    Note: Introduction to Hidden Markov Models and its Applications in Biology -- HMMs in Protein Fold Classification -- Application of Hidden Markov Models in Biomolecular Simulations -- Predicting Beta Barrel Transmembrane Proteins using HMMs -- Predicting Alpha Helical Transmembrane Proteins using HMMs -- Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization -- Analyzing Single Molecule FRET Trajectories using HMM -- Modelling ChIP-seq Data using HMMs -- Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence -- Computationally Tractable Multivariate HMM in Genome-wide Mapping Studies -- Hidden Markov Models in Population Genomics -- Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes using HMMs and Hierarchical Bayesian Modeling Approaches -- Finding RNA-Protein Interaction Sites using HMM -- Automated Estimation of Mouse Social Behaviours Based on a Hidden Markov Model -- Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications. .
    Additional Edition: ISBN 1-4939-6751-7
    Language: English
    Keywords: Laboratory Manuals. ; Laboratory manuals.
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9949251535302882
    Format: 1 online resource (X, 221 p. 59 illus., 17 illus. in color.)
    Edition: 1st ed. 2017.
    ISBN: 1-4939-6753-3
    Series Statement: Methods in Molecular Biology, 1552
    Content: This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule, cellular level, and to organism level and the use of HMMs in unravelling the complex mechanisms that govern these complex systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Hidden Markov Models: Methods and Protocols aims to demonstrate the impact of HMM in biology and inspire new research.
    Note: Introduction to Hidden Markov Models and its Applications in Biology -- HMMs in Protein Fold Classification -- Application of Hidden Markov Models in Biomolecular Simulations -- Predicting Beta Barrel Transmembrane Proteins using HMMs -- Predicting Alpha Helical Transmembrane Proteins using HMMs -- Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization -- Analyzing Single Molecule FRET Trajectories using HMM -- Modelling ChIP-seq Data using HMMs -- Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence -- Computationally Tractable Multivariate HMM in Genome-wide Mapping Studies -- Hidden Markov Models in Population Genomics -- Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes using HMMs and Hierarchical Bayesian Modeling Approaches -- Finding RNA-Protein Interaction Sites using HMM -- Automated Estimation of Mouse Social Behaviours Based on a Hidden Markov Model -- Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications. .
    Additional Edition: ISBN 1-4939-6751-7
    Language: English
    Keywords: Laboratory Manuals. ; Laboratory manuals. ; Laboratory Manuals. ; Laboratory manuals.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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