Bioinformatics has 2 ratings and 0 reviews. This textbook presents mathematical models in bioinformatics and describes biological problems that inspire t. Andrzej Polanski Marek Kimmel Bioinformatics 4y Springer Bioinformatics Andrzej Polanski ยท Marek Kimmel Bioinformatics With Figures. Front Cover. In this comprehensive textbook, Polanski and Kimmel present in bioinformatics and they describe the biological problems that inspire the.
| Author: | Micage Voodoogrel |
| Country: | Guadeloupe |
| Language: | English (Spanish) |
| Genre: | Travel |
| Published (Last): | 6 March 2004 |
| Pages: | 99 |
| PDF File Size: | 18.60 Mb |
| ePub File Size: | 5.34 Mb |
| ISBN: | 426-8-77757-671-2 |
| Downloads: | 56579 |
| Price: | Free* [*Free Regsitration Required] |
| Uploader: | Brarn |
Jagadeeswararao marked it as to-read Jul 04, The first part of the book covers the mathematical and computational methods, while the practical applications are bioinfformatics in the second part. Kimmel is a Fellow of the American Statistical Association. Presentation Clear and logical.
Bioinformatics – Andrzej Polanski, Marek Kimmel – Google Books
Table of contents Mathematical and Computational Methods. The book closes with a thorough bibliography, reaching from classic research results to very recent findings.
Q rated it really liked it Bilinformatics 19, Review quote From the reviews: Check out the top books of the year on our page Bioinflrmatics Books of We use cookies to give you the best possible experience.
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. Each of the six chapters of the second part is devoted to some specific application domain: Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.
General Issues Molecular Biology Computing: Emphasis is laid on motivation through biological problems and cross applications. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution.
Bioinformatics : Andrzej Polanski :
To ask other readers questions about Bioinformaticsplease sign up. Book ratings by Goodreads. Its structure-two parts foundations and applicationsoolanski problem areas, and a gradual approach for problem framing and solving- make it invaluable for computer scientists learning bioinformatics, or biologists applying computational methods to their fields. Graduates and researchers who want more than just another guide on how to use databases.
Bioinformatics
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. The first part of the book covers mathematical and computational methods, with practical applications presented in the second. Bikinformatics structure two parts foundations and applicationswell-classified problem areas, and a gradual approach for problem framing and solving- make it invaluable for computer scientists learning bioinformatics, or biologists applying computational methods to their fields.
Product details Format Paperback pages Dimensions x x His research interests are in bioinformatics, biomedical modeling and control, modern control and optimization theory. By using our website you agree to our use of cookies. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution.
He is heading bioinformatice Rice Bioinformatics Group as well as polanskii doctoral program in Statistical Genetics and Bioinformatics.
His research interests are in bioinformatics, biomedical modeling and control, modern control and optimization theory. The book is suitable for graduate students and professionals, and can serve as a reference for state-of-the-art issues and solutions.
Who is it for? Goodreads helps biolnformatics keep track of books you want to read. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.
Home Contact Us Help Free delivery worldwide. Drew marked it as to-read Mar 08, Alexander Holik added it Oct 04, Visit our Beautiful Books page and find lovely books for polanwki, photography lovers and more.
To see what your friends thought of this book, please sign up. No trivia or quizzes yet. Return to Book Page.
In this comprehensive textbook, Polanski and Kimmel present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data polanki involved. Each chapter concludes bioinfomratics a problems and projects section, to deepen the reader’s understanding and to allow for the design of derived methods.
The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. Back cover copy Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: Biology, Life Sciences Life Sciences: Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.
Muhammed Bioinfornatics added it Mar 22, Refresh and try again. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution.
Each chapter concludes with a problems and projects section, to deepen the reader’s understanding and to allow for the design of derived methods.