Compact Handbook of Computational Biology (eBook, ePUB)

Redaktion: Konopka, A. K.; Crabbe, M. James C.

• Format: ePub

Produktbeschreibung

Written by a dynamic team of highly regarded and experienced scientists, many of whom pioneered current methodologies in computer-assisted research in the life sciences, this interdisciplinary handbook covers terminology, software, and applications of computational biology with academic-level precision. It provides clearly written yet authoritative descriptions of methods and practical examples of their use supported by 975 scholarly works cited. Highlights include methods for pragmatic analysis of nucleic acid and protein sequences and structures, definition and detection of motifs in nucleic acid and protein sequences, protein structure prediction, and discrete modeling of biopolymers.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 572
• Erscheinungstermin: 30. August 2004
• Englisch
• ISBN-13: 9781135572686
• Artikelnr.: 73300723

Autorenporträt

Andrzej K. Konopka, M. James C. Crabbe

Inhaltsangabe

Foreword. Contributors. Introduction: Computational Biology in 14 Brief
Paragraphs. Biomolecular Sequence Analysis. Introduction to Pragmatic
Analysis of Nucleic Acid Sequences. Motifs in Sequences: Localization and
Extraction. Protein Sequence Analysis and Prediction of Secondary
Structural Features. Biopolymer Structure Calculation and Prediction.
Discrete Models of Biopolymers. Protein Structure Folding and Prediction.
DNA-Protein Interactions: Target Prediction. Genome Analysis and Evolution.
Methods of Computational Genomics: An Overview. Computational Aspects of
Comparative Genomics. Computational Methods for Studying the Evolution of
the Mitochondrial Genome. Appendix 1: Computational Biology: Annotated
Glossary of Terms. Appendix 2: A Dictionary of Programs for Sequence
Analysis. Index.