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* Mathematical Approaches to Polymer Sequence Analysis and Related Problems ì PDF Download by # Springer eBook or Kindle ePUB Online free. Mathematical Approaches to Polymer Sequence Analysis and Related Problems "A Collection of Interesting Topics" according to Paul. This book is a collection of very interesting topics related to sequence analysis. The content is mostly new and useful. It is not self-contained, however: some background in bioinformatics is needed. A bit too expensive perhaps, but I'm glad to have it.]

Mathematical Approaches to Polymer Sequence Analysis and Related Problems

Title : Mathematical Approaches to Polymer Sequence Analysis and Related Problems
Author :
Rating : 4.41 (951 Votes)
Asin : 1489990194
Format Type : paperback
Number of Pages : 248 Pages
Publish Date : 2013-10-11
Language : English

The chapters will include peptide sequence analysis, DNA sequence analysis, analysis of biopolymers and nonpolymers, sequence alignment problems, and more.. An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them

"A Collection of Interesting Topics" according to Paul. This book is a collection of very interesting topics related to sequence analysis. The content is mostly new and useful. It is not self-contained, however: some background in bioinformatics is needed. A bit too expensive perhaps, but I'm glad to have it.

The present volume offers a detailed overview of some of the most interesting mathematical approaches to sequence analysis and other sequence related problems. However, the success of such approaches depends not only on brute computational strength of the computers on which the solution procedures run, but also, and often critically, on the mathematical quality of the models and of the algorithms underlying those solution procedures. . Special emphasis is devoted to problems concerning the most relevant biopolymers (proteins and genetic sequences), but the exposition is not limit

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