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Computational molecular biology an algorithmic approach by Pavel Pevzner

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Published by MIT Press in Cambridge, Mass .
Written in English

Subjects:

  • Algorithms.,
  • DNA microarrays.,
  • Molecular biology -- Mathematical models.

Book details:

Edition Notes

Includes bibliographical references and index.

StatementPavel A. Pevzner.
SeriesComputational molecular biology, Computational molecular biology series
Classifications
LC ClassificationsQH506 .P47 2000
The Physical Object
Paginationxviii, 314 p. :
Number of Pages314
ID Numbers
Open LibraryOL22308646M
ISBN 100262161974

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Computational Molecular Biology series Computer science and mathematics are transforming molecular biology from an informational to a computational science. Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology is dramatically increasing the discovery of new technologies and tools for molecular biology. By covering a wide range of combinatorial problems that arise in computational molecular biology, this book enables researchers, computer scientists, life scientists, mathematicians, graduate students, and senior undergraduates to deal with more complex issues and richer data by: This book constitutes the refereed proceedings of the 16th Annual International Conference on Research in Computational Molecular Biology, RECOMB , held in Barcelona, Spain, in April The 31 revised full papers presented together with 5 keynote lectures were carefully reviewed and selected. This book constitutes the refereed proceedings of the 16th Annual International Conference on Research in Computational Molecular Biology, RECOMB , held in Barcelona, Spain, in April The

  About this book This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field. This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides. Get this from a library! RECOMB proceedings of the Fifth Annual International Conference on Computational Biology, April , , Montreal, Canada. [Thomas Lengauer; ACM Special Interest Group for Automata and Computability Theory.; Celera Genomics.;]. This book highlights those areas of the mathematical, statistical, and computational sciences that are important in cutting-edge research in molecular biology. It also tries to illustrate to the molecular biology community the role of mathematical methodologies in solving biomolecular problems. Author(s): Eric S. Lander and Michael S. Waterman.

Purchase Computational Methods in Molecular Biology, Volume 32 - 1st Edition. Print Book & E-Book. ISBN , Abstract. Systems biology combines experimental and computational research to facilitate understanding of complex biological processes. In this chapter we describe data repositories, data standards, modeling, and visualization tools as prerequisites for systems biology research in order to help us to better study and understand biological processes. The book purports to be a "self-contained introduction" to computational biology. It fails on both counts due to its excessive ambition, its opaque pedagogy, and a large number of significant typographical errors, such as entire subroutines missing from pseudocode examples/5(3). This book constitutes the proceedings of the 23 rd Annual Conference on Research in Computational Molecular Biology, RECOMB , held in Washington, DC, USA, in April The 17 extended and 20 short abstracts presented were carefully reviewed and selected from submissions. The short abstracts are included in the back matter of the volume.