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Mathematical Methods of Analysis of Biopolymer Sequences
Edited by: Simon Gindikin
A co-publication of the AMS and DIMACS.

DIMACS: Series in Discrete Mathematics and Theoretical Computer Science
1992; 150 pp; hardcover
Volume: 8
ISBN-10: 0-8218-6601-X
ISBN-13: 978-0-8218-6601-6
List Price: US$62
Member Price: US$49.60
Order Code: DIMACS/8
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This collection contains papers by participants in the seminar on mathematical methods in molecular biology who worked for several years at the Laboratory of Molecular Biology and Bioorganic Chemistry (now the Institute of Physical and Chemical Problems in Biology) at Moscow State University. The seminar united mathematicians and biologists around the problems of biological sequences. The collection includes original results as well as expository material and spans a range of perspectives, from purely mathematical problems to algorithms and their computer realizations. For this reason, the book is of interest to mathematicians, statisticians, biologists, and computational scientists who work with biopolymer sequences.

Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).


Mathematicians, statisticians, biologists and computational scientists who work with biopolymer sequences.

Table of Contents

  • I. Some problems of mathematical statistics
  • A. M. Leontovich -- On the optimality of the Dayhoff matrix for computing the similarity score between fragments of biological sequences
  • V. I. Piterbarg -- On the distribution of the maximum similarity score for fragments of two random sequences
  • II. Surveys and methodology
  • M. S. Gelfand -- Computer functional analysis of nucleotide sequences: Problems and approaches
  • E. V. Koonin -- Comparative analysis of biopolymer sequences: Reflections on the validity of the methodology and the underlying general principles
  • III. Methods and algorithms
  • D. R. Davydov, I. Erlikh, E. E. Klotz, and V. G. Fridman -- A new method for recognition of structural and functional motifs in protein sequences based on the principal component analysis of profiles of physico-chemical properties
  • M. S. Gelfand -- Prediction of protein-coding regions in DNA of higher Eukaryotes
  • P. Pevzner -- DNA physical mapping, flows in networks and minimum cycles mean in graphs
  • M. A. Roytberg -- Fast algorithm for optimal aligning of symbol sequences
  • IV. Software
  • L. I. Brodsky, A. V. Vassilyev, Ya. L. Kalaydzidis, Yu. S. Osipov, R. L. Tatuzov, and S. I. Feranchuk -- GeneBee: The program package for biopolymer structure analysis
  • R. L. Tatuzov and T. A. Mamikonova -- Data compression and the use of vector operations for the fast search problems in analysis of biological sequences
  • R. L. Tatuzov and T. A. Mamikonova -- Organization and storage of information in molecular genetics data banks
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