Forbes j burkowski (18 Ergebnisse)

Hardcover. Zustand: Sehr gut. CRC Press (2009). gr.8°. Some figs. 6 coloured plates. XXIII, 406 p. Hardbound. (top edge slightly stained).- Mathematical and Computational Biology Series.- With exercises.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781584886839.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Shows how to apply key algorithms to solve problems related to macromolecular structure. This title helps students go further in their study of structural biology. It solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. Series: Chapman & Hall/CRC Mathematical & Computational Biology. Num Pages: 429 pages, 124 black & white illustrations, 24 colour illustrations, 6 black & white tables. BIC Classification: PS; UY. Category: (UU) Undergraduate. Dimension: 235 x 156 x 25. Weight in Grams: 771. . 2008. Hardback. . . . .…

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. Forbes J. BurkowskiThe Beauty of Protein Structures and the Mathematics behind Structural BioinformaticsProviding the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach .

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 1st edition. 406 pages. 9.75x6.25x1.00 inches. In Stock.

Zustand: New. Shows how to apply key algorithms to solve problems related to macromolecular structure. This title helps students go further in their study of structural biology. It solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. Series: Chapman & Hall/CRC Mathematical & Computational Biology. Num Pages: 429 pages, 124 black & white illustrations, 24 colour illustrations, 6 black & white tables. BIC Classification: PS; UY. Category: (UU) Undergraduate. Dimension: 235 x 156 x 25. Weight in Grams: 771. . 2008. Hardback. . . . . Books ship from the US and Ireland.…

Zustand: New. Forbes Burkowski is a professor of computer science at the University of Waterloo in Ontario, Canada.A Step-by-Step Guide to Describing Biomolecular StructureComputational and Visualization Techniques for Structural.

Hardcover. Zustand: Brand New. har/psc edition. 419 pages. 10.00x6.75x1.00 inches. In Stock.

Buch. Zustand: Neu. Neuware - The Beauty of Protein Structures and the Mathematics behind Structural BioinformaticsProviding the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure.Helps Students Go Further in Their Study of Structural BiologyFollowing some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then reviews sequence alignment, along with the basic mathematical calculations needed for measuring the geometric properties of macromolecules. After looking at how coordinate transformations facilitate the translation and rotation of molecules in a 3D space, the author introduces structural comparison techniques, superposition algorithms, and algorithms that compare relationships within a protein. The final chapter explores how regression and classification are becoming more useful in protein analysis and drug design.At the Crossroads of Biology, Mathematics, and Computer ScienceConnecting biology, mathematics, and computer science, this practical text presents various bioinformatics topics and problems within a scientific methodology that emphasizes nature (the source of empirical observations), science (the mathematical modeling of the natural process), and computation (the science of calculating predictions and mathematical objects based on mathematical models).…

Zustand: New. pp. 472.

Buch. Zustand: Neu. Neuware - A Step-by-Step Guide to Describing Biomolecular StructureComputational and Visualization Techniques for Structural Bioinformatics Using Chimera shows how to perform computations with Python scripts in the Chimera environment. It focuses on the three core areas needed to study structural bioinformatics: biochemistry, mathematics, and computation.Understand Important Concepts of Structural BioinformaticsThe book covers topics that deal primarily with protein structure and includes many exercises that are grounded in biological problems at the molecular level. The text encourages mathematical analysis by providing a firm foundation for computations. It analyzes numerous Python scripts for the Chimera environment, with the scripts and other material available on a supplementary website.Build Python Scripts to Extend the Capabilities of ChimeraThrough more than 60 exercises that involve the development of Python scripts, the book gives you concrete guidance on using the scripting capabilities of Chimera. You'll gain experience in solving real problems as well as understand the various applications of linear algebra. You can also use the scripts as starting points for the development of similar applications and use classes from the StructBio toolkit for computations, such as structure overlap, data plotting, scenographics, and display of residue networks.Print Versions of this book also include access to the Elektronisches Buch version.…

Hardcover. Zustand: new. Hardcover. The Beauty of Protein Structures and the Mathematics behind Structural Bioinformatics Providing the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure. Helps Students Go Further in Their Study of Structural Biology Following some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then reviews sequence alignment, along with the basic mathematical calculations needed for measuring the geometric properties of macromolecules. After looking at how coordinate transformations facilitate the translation and rotation of molecules in a 3D space, the author introduces structural comparison techniques, superposition algorithms, and algorithms that compare relationships within a protein. The final chapter explores how regression and classification are becoming more useful in protein analysis and drug design.At the Crossroads of Biology, Mathematics, and Computer Science Connecting biology, mathematics, and computer science, this practical text presents various bioinformatics topics and problems within a scientific methodology that emphasizes nature (the source of empirical observations), science (the mathematical modeling of the natural process), and computation (the science of calculating predictions and mathematical objects based on mathematical models). Shows how to apply key algorithms to solve problems related to macromolecular structure. This title helps students go further in their study of structural biology. It solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…