Willkommen, schön sind Sie da!
Logo Ex Libris

Computational Biology

  • Kartonierter Einband
  • 340 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
This book presents computational biology methods by focusing on their applications, including primary sequence analysis, protein s... Weiterlesen
CHF 197.00
Print on Demand - Auslieferung erfolgt in der Regel innert 4 bis 6 Wochen.
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

This book presents computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks.


Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry. In Computational Biology, expert practitioners present a broad survey of computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks. As a volume in the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and easy to use, Computational Biology is an ideal guide for all scientists interested in quantitative biology.

Presents a broad survey of computational biology methods by focusing on their applications

Aids scientists in building the foundation to the eventual goal of modeling complex systems like an entire cell

Includes detailed descriptions of techniques provided by key experts from around the world



Inhalt
1. Sequencing and Genome Assembly Using Next-Generation Technologies Niranjan Nagarajan and Mihai Pop 2. RNA Structure Prediction István Miklós 3. Normalization of Gene-Expression Microarray Data Stefano Calza and Yudi Pawitan 4. Prediction of Transmembrane Topology and Signal Peptide Given a Proteins Amino Acid Sequence Lukas Käll 5. Protein Structure Modeling Lars Malmström and David R. Goodlett 6. Template-Based Protein Structure Modeling Andras Fiser 7. Automated Protein NMR Structure Determination in Solution Wolfram Gronwald and Hans Robert Kalbitzer 8. Computational Tools in Protein Crystallography Deepti Jain and Valerie Lamour 9. 3-D Structures of Macromolecules Using Single Particle Analysis in EMAN Steven J. Ludtke 10. Computational Design of Chimeric Protein Libraries for Directed Evolution Jonathan J. Silberg, Peter Q. Nguyen, and Taylor Stevenson 11. Mass Spectrometric Protein Identification Using the Global Proteome Machine David Fenyö, Jan Eriksson, and Ronald Beavis 12. Unbiased Detection of Post Translational Modifications Using Mass Spectrometry Maria Fälth Savitski and Mikhail M. Savitski 13. Protein Quantitation Using Mass Spectrometry Guoan Zhang, Beatrix M. Ueberheide, Sofia Waldemarson, Sunnie Myung, Kelly Molloy, Jan Eriksson, Brian T. Chait, Thomas A. Neubert, and David Fenyö 14. Modeling Experimental Design for Proteomics Jan Eriksson and David Fenyö 15. A Functional Proteomic Study of the Trypanosoma brucei Nuclear Pore Complex: An Informatic Strategy Jeffrey A. DeGrasse and Damien Devos 16. Inference of Signal Transduction Networks from Double Causal Evidence Réka Albert, Bhaskar DasGupta, and Eduardo Sontag 17. Reverse Engineering Gene Regulatory Networks Related to Quorum Sensing in the Plant Pathogen Pectobacterium atrosepticum Kuang Lin, Dirk Husmeier, Frank Dondelinger, Claus D. Mayer, Hui Liu, Leighton Pritchard, George P.C. Salmond, Ian K. Toth, and Paul R.J. Birch 18. ParameterInference and Model Selection in Signaling Pathway Models Tina Toni and Michael P.H. Stumpf 19. Genetic Algorithms and Their Application to In silico Evolution of Genetic Regulatory Networks Johannes F. Knabe, Katja Wegner, Chrystopher L. Nehaniv, and Maria J. Schilstra

Produktinformationen

Titel: Computational Biology
Editor:
EAN: 9781493961221
ISBN: 1493961225
Format: Kartonierter Einband
Herausgeber: Humana Press
Anzahl Seiten: 340
Gewicht: 641g
Größe: H254mm x B178mm x T18mm
Jahr: 2016
Auflage: Softcover reprint of the original 1st ed. 2010

Weitere Produkte aus der Reihe "Methods in Molecular Biology"

Teil 673
Sie sind hier.