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Computational Systems Biology - Jason McDermott; Ram Samudrala; Roger Bumgarner; Kristina Montgomery; Reneé Ireton
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Jason McDermott; Ram Samudrala; Roger Bumgarner; Kristina Montgomery; Reneé Ireton:

Computational Systems Biology - Taschenbuch

ISBN: 9781493956449

Computational systems biology is the term that we use to describe computational methods to identify, infer, model, and store relationships between the molecules, pathways, and cells (‘‘sy… Mehr…

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Computational Systems Biology - Jason McDermott; Ram Samudrala; Roger Bumgarner; Kristina Montgomery; Reneé Ireton
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Jason McDermott; Ram Samudrala; Roger Bumgarner; Kristina Montgomery; Reneé Ireton:

Computational Systems Biology - neues Buch

ISBN: 9781493956449

Life Sciences; Bioinformatics; Systems Biology; Computer Appl. in Life Sciences Analysis, algorithms, bioinformatics, evolution, genes, genome, modeling, molecular biology Books, Springer… Mehr…

  - This volume sees expert investigators contribute chapters which bring together biological data and computational/mathematical models of the data to aid researchers create a system that provides both predictive and mechanistic information for a model organ Versandkosten:más costos de envío., zzgl. Versandkosten
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Computational Systems Biology - Jason McDermott; RAM Samudrala; Roger Bumgarner; Kristina Montgomery; Reneé Ireton
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Jason McDermott; RAM Samudrala; Roger Bumgarner; Kristina Montgomery; Reneé Ireton:
Computational Systems Biology - Taschenbuch

2016

ISBN: 9781493956449

Buch, Softcover, Softcover reprint of the original 1st ed. 2009, [PU: Humana Press Inc.], Humana Press Inc., 2016

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Computational Systems Biology - Jason McDermott; RAM Samudrala; Roger Bumgarner; Kristina Montgomery; Renee Ireton
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Jason McDermott; RAM Samudrala; Roger Bumgarner; Kristina Montgomery; Renee Ireton:
Computational Systems Biology - Taschenbuch

2016, ISBN: 9781493956449

Buch, Softcover, Softcover reprint of the original 1st ed. 2009, [PU: Humana Press Inc.], Humana Press Inc., 2016

Versandkosten:Versand in 10-14 Tagen. (EUR 0.00)
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Computational Systems Biology - Jason McDermott; RAM Samudrala; Roger Bumgarner; Kristina Montgomery; Renee Ireton
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Jason McDermott; RAM Samudrala; Roger Bumgarner; Kristina Montgomery; Renee Ireton:
Computational Systems Biology - Taschenbuch

2016, ISBN: 9781493956449

Softcover, Buch, [PU: Humana Press Inc.]

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Bibliographische Daten des bestpassenden Buches

Details zum Buch

Detailangaben zum Buch - Computational Systems Biology


EAN (ISBN-13): 9781493956449
ISBN (ISBN-10): 1493956442
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: Humana Press Inc.

Buch in der Datenbank seit 2017-08-27T12:54:14+02:00 (Zurich)
Detailseite zuletzt geändert am 2022-08-31T20:31:20+02:00 (Zurich)
ISBN/EAN: 9781493956449

ISBN - alternative Schreibweisen:
1-4939-5644-2, 978-1-4939-5644-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: montgomery, ram
Titel des Buches: systems biology


Daten vom Verlag:

Autor/in: Jason McDermott; Ram Samudrala; Roger Bumgarner; Kristina Montgomery; Reneé Ireton
Titel: Methods in Molecular Biology; Computational Systems Biology
Verlag: Humana; Humana Press
592 Seiten
Erscheinungsjahr: 2016-08-23
Totowa; NJ; US
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
POD
XVIII, 592 p.

BC; Hardcover, Softcover / Biologie; DV-gestützte Biologie/Bioinformatik; Verstehen; Biowissenschaften, Biologie; Analysis; algorithms; bioinformatics; evolution; genes; genome; modeling; molecular biology; Systems Biology; Bioinformatics; Computational and Systems Biology; BB

Network Components.- Identification of cis-Regulatory Elements in Gene Co-expression Networks Using A-GLAM.- Structure-Based Ab Initio Prediction of Transcription Factor–Binding Sites.- Inferring Protein–Protein Interactions from Multiple Protein Domain Combinations.- Prediction of Protein–Protein Interactions: A Study of the Co-evolution Model.- Computational Reconstruction of Protein–Protein Interaction Networks: Algorithms and Issues.- Prediction and Integration of Regulatory and Protein–Protein Interactions.- Detecting Hierarchical Modularity in Biological Networks.- Network Inference.- Methods to Reconstruct and Compare Transcriptional Regulatory Networks.- Learning Global Models of Transcriptional Regulatory Networks from Data.- Inferring Molecular Interactions Pathways from eQTL Data.- Methods for the Inference of Biological Pathways and Networks.- Network Dynamics.- Exploring Pathways from Gene Co-expression to Network Dynamics.- Network Dynamics.- Kinetic Modeling of Biological Systems.- Guidance for Data Collection and Computational Modelling of Regulatory Networks.- Function and Evolutionary Systems Biology.- A Maximum Likelihood Method for Reconstruction of the Evolution of Eukaryotic Gene Structure.- Enzyme Function Prediction with Interpretable Models.- Using Evolutionary Information to Find Specificity-Determining and Co-evolving Residues.- Connecting Protein Interaction Data, Mutations, and Disease Using Bioinformatics.- Effects of Functional Bias on Supervised Learning of a Gene Network Model.- Computational Infrastructure for Systems Biology.- Comparing Algorithms for Clustering of Expression Data: How to Assess Gene Clusters.- The Bioverse API and Web Application.- Computational Representation of Biological Systems.- Biological NetworkInference and Analysis Using SEBINI and CABIN.
Presents a broad range of topics related to computational systems biology, including mechanistic modeling, high-throughput data analysis, biological network analysis and data representation and management Provides a number of clearly described, detailed ‘recipes’ for analysis of systems data Supplies a number of alternative approaches to modeling similar types of data Includes supplementary material: sn.pub/extras

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