Introduction to mathematical methods in bioinformatics - Info and Reading Options
By Alexander Isaev
"Introduction to mathematical methods in bioinformatics" was published by Springer in 2004 - Berlin, it has 294 pages and the language of the book is English.
“Introduction to mathematical methods in bioinformatics” Metadata:
- Title: ➤ Introduction to mathematical methods in bioinformatics
- Author: Alexander Isaev
- Language: English
- Number of Pages: 294
- Publisher: Springer
- Publish Date: 2004
- Publish Location: Berlin
“Introduction to mathematical methods in bioinformatics” Subjects and Themes:
- Subjects: ➤ Bioinformatics - Computational biology - Mathematics - Computational biology--methods - Models, theoretical - Sequence analysis--methods - Bioinformatics--mathematics - Bio-informatique--mathématiques - Bioinformatik - Mathematische methode - Qh324.2 .i82 2004 - 2004 j-132 - Qu 26.5 i74i 2004 - Methods - Theoretical Models - Sequence Analysis
Edition Specifications:
- Pagination: xiii, 294 p. :
Edition Identifiers:
- The Open Library ID: OL22601047M - OL9074884W
- Online Computer Library Center (OCLC) ID: 55988319
- Library of Congress Control Number (LCCN): 2004104981
- ISBN-13: 9783540219736 - 9783540484264
- ISBN-10: 3540219730
- All ISBNs: 3540219730 - 9783540219736 - 9783540484264
AI-generated Review of “Introduction to mathematical methods in bioinformatics”:
"Introduction to mathematical methods in bioinformatics" Description:
Open Data:
This book looks at the mathematical foundations of the models currently in use. This is crucial for the correct interpretation of the outputs of the models. A bioinformatician should be able not only to use software packages, but also to know the mathematics behind these packages. From this point of view, mathematics departments throughout the world have a major role to play in bioinformatics education by teaching courses on the mathematical foundations of the subject. Based on the courses taught by the author the book combines several topics in biological sequence analysis with mathematical and statistical material required for such analysis
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