An Introduction to Protein Informatics: The Springer International Series in Engineering and Computer Science, cartea 749
Autor Karl-Heinz Zimmermannen Limba Engleză Paperback – 22 noi 2012
Protein informatics requires substantial prerequisites on computer science, mathematics, and molecular biology. The approach chosen here, allows a direct and rapid grasp on the subject starting from basic knowledge of algorithm design, calculus, linear algebra, and probability theory.
An Introduction to Protein Informatics, a professional monograph will provide the reader a comprehensive introduction to the field of protein informatics. The text emphasizes mathematical and computational methods to tackle the central problems of alignment, phylogenetic reconstruction, and prediction and sampling of protein structure.
An Introduction to Protein Informatics is designed for a professional audience, composed of researchers and practitioners within bioinformatics, molecular modeling, algorithm design, optimization, and pattern recognition. This book is also suitable as a graduate-level text for students in computer science, mathematics, and biomedicine.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 949.89 lei 6-8 săpt. | |
Springer Us – 22 noi 2012 | 949.89 lei 6-8 săpt. | |
Hardback (1) | 957.83 lei 6-8 săpt. | |
Springer Us – 31 aug 2003 | 957.83 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781461348399
ISBN-10: 1461348390
Pagini: 304
Ilustrații: XVIII, 280 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.43 kg
Ediția:Softcover reprint of the original 1st ed. 2003
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
ISBN-10: 1461348390
Pagini: 304
Ilustrații: XVIII, 280 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.43 kg
Ediția:Softcover reprint of the original 1st ed. 2003
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1. Proteins.- 2. Biosynthesis.- 3. Pairwise Sequence Alignment.- 4. Multiple Sequence Alignment.- 5. Phylogenetic Trees.- 6. Secondary Structure Prediction.- 7. Tertiary Structure Prediction.- 8. Stochastic Sampling Methods.- Appendices.- A The List of Considered Proteins.- B Rost-Sander Set.- C Substitution Matrices.- References.