Bioinformatics : problem solving paradigms / Volker Sperschneider ; with contributions by Jana Sperschneider and Lena Scheubert.
نوع المادة :
نصالناشر:Berlin : Springer, [2008]تاريخ حقوق النشر: ©2008وصف:xviii, 289 pages : illustrations ; 25 cmنوع المحتوى:- text
- unmediated
- volume
- 9783540785057
- 3540785051
- QH324.2 .S665 2008
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
|---|---|---|---|---|---|---|---|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QH324.2 .S665 2008 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000018936 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
| QH324.2 .N43 2009 Probabilistic methods for bioinformatics : with an introduction to Bayesian networks / | QH324.2 .R37 2008 Bioinformatics : concepts, skills & applications / | QH324.2 .R37 2008 Bioinformatics : concepts, skills & applications / | QH324.2 .S665 2008 Bioinformatics : problem solving paradigms / | QH324.2 .V37 2019 From models to simulations / | QH324.2 .V37 2019 From models to simulations / | QH324.2 .Z47 2008 Computational systems bioinformatics : methods and biomedical applications / |
Includes bibliographical references (pages 279-283) and index.
Core bioinformatics problems -- Turning to algorithmic problems -- Dynamic programming -- Intelligent data structures -- NP-hardness of core bioinformatics problems -- Approximation algorithms -- A selection of metaheuristics and various projects.
"There are fundamental principles for problem analysis and algorithm design that are continuously used in bioinformatics. This book concentrates on a clear presentation of these principles, presenting them in a self-contained, mathematically clear and precise manner, and illustrating them with lots of case studies from main fields of bioinformatics. Emphasis is laid on algorithmic "pearls" of bioinformatics, showing that things may get rather simple when taking a proper view into them. The book closes with a thorough bibliography, ranging from classic research results to very recent findings, providing many pointers for future research. Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background."--Jacket.
