Computational Biology Book by David Fenyo - Bookswagon
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Computational Biology

Computational Biology


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About the Book

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


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Product Details
  • ISBN-13: 9781607618416
  • Publisher: Humana Press
  • Publisher Imprint: Humana Press
  • Depth: 25
  • Height: 254 mm
  • No of Pages: 327
  • Series Title: Methods in Molecular Biology
  • Volume: 673
  • Width: 178 mm
  • ISBN-10: 1607618419
  • Publisher Date: 23 Sep 2010
  • Binding: Hardback
  • Edition: 1
  • Language: English
  • Returnable: N
  • Spine Width: 21 mm
  • Weight: 856 gr


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Computational Biology
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