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Computational Molecular Biology

Frontcover
Sorin Istrail, Pavel A. Pevzner, Ron Shamir
0 Rezensionen
Gulf Professional Publishing, 2003 - 177 Seiten
This volume contains papers demonstrating the variety and richness of computational problems motivated by molecular biology. The application areas within biology that give rise to the problems studied in these papers include solid molecular modeling, sequence comparison, phylogeny, evolution, mapping, DNA chips, protein folding and 2D gel technology. The mathematical techniques used are algorithmics, combinatorics, optimization, probability, graph theory, complexity and applied mathematics.



This is the fourth volume in the Discrete Applied Mathematics series on computational molecular biology, which is devoted to combinatorial and algorithmic techniques in computational molecular biology. This series publishes novel research results on the mathematical and algorithmic foundations of the inherently discrete aspects of computational biology.



Key features:



• protein folding
• phylogenetic inference
• 2-dimensional gel analysis
• graphical models for sequencing by hybridisation
• dynamic visualization of molecular surfaces
• problems and algorithms in sequence alignment



This book is a reprint of Discrete Applied Mathematics Volume 127, Number 1.

  

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Ausgewählte Seiten

Inhalt

Point matching under nonuniform distortions
5
Dynamic maintenance and visualization of molecular surfaces
23
Point placement on the line by distance data
53
On the consistency of the minimum evolution principle of phylogenetic inference
63
Algorithm for statistical alignment of two sequences derived from a Poisson sequence length distribution
79
Recognizing DNA graphs is difficult
85
boosting iterated dynamic programming using locally suboptimal solutions
95
Aligning two fragmented sequences
119
The algorithmics of folding proteins on lattices
145
Approximate protein folding in the HP side chain model on extended cubic lattices
163
Urheberrecht

Häufige Begriffe und Wortgruppen

2-island 2002 Elsevier Science 6-fragment amino acids approximation algorithm approximation ratio arcs atom B.V. All rights balls Biol bipartite bipartite graph boundary representation Bruijn graph chordal graphs consider construction contigs corresponding CSR problem defined denote distance dynamic programming edge lengths Elsevier Science B.V. evolutionary tree extended cubic lattices Genome graph coloring graph G heuristic HP model HP side chain HP-sequences hydrophobic hydrophobic residues improvement attempts input intersection label Lemma Levinthal paradox line rigid graph matching under non-uniform matrix MAX-SNP method molecular surface molecule near-optimal neighbors node non-uniform distortions NP-hard NURBS obtained optimal pairs path plane plug-in sites point matching position Power Diagram PRODALI Proof protein folding protein structure prediction quadratic growth queries radius represented side chain side chain model solution Steiner structure subgraph subtree score Theorem TPA zone tree length trimming curves v(es vertex vertices Voronoi Voronoi diagrams weighted sequence graphs

Beliebte Passagen

Seite 177 - S. Istrail. Lattice and off-lattice side chain models of protein folding: Linear time structure prediction better than In Proc.‎
Wird in 13 Büchern von 1960 bis 2007 erwähnt
Seite 177 - Fast protein folding in the hydrophobic-hydrophilic model within three-eights of optimal.‎
Wird in 9 Büchern von 1997 bis 2007 erwähnt

Verweise auf dieses Buch

Aus Google Scholar

Photon correlation spectroscopy investigations of proteins
Vladimir M Gun'ko, Alla V Klyueva, Yuri N Levchuk, Roman Leboda - 2003 - Advances in Colloid and Interface Science

Referenzen von Webseiten

Dr Pavel Pevzner
Pavel Pevzner. Ronald R. Taylor Professor of Computer Science Director, Center for Algorithmic and Systems Biology at UCSD ...
www.cse.ucsd.edu/ ~ppevzner/

Computational Molecular Biology - The MIT Press
He is the author of Computational Molecular Biology: An Algorithmic Approach (MIT Press, 2000) . Of Related Interest: ...
mitpress.mit.edu/ catalog/ item/ default.asp?tid=3539& ttype=2

Computers & Chemistry : Computational Molecular Biology: An ...
Computational Molecular Biology: An Algorithmic Approach. Pavel A. Pevzner, The MIT Press, Cambridge, MA, August 2000, ISBN 0262161974, US $44.95, ...
linkinghub.elsevier.com/ retrieve/ pii/ S0097848501000766

JSTOR: Computational Molecular Biology: An Algorithmic Approach
Computational Molecular Biology: An Algorithmic Approach. By Pavel A. Pevzner. MIT Press, Cambridge, MA, 2000. $47.95. xviii+3 14 pp., hardcover. ...
links.jstor.org/ sici?sici=0036-1445(200112)43%3A4%3C733%3ACMBAAA%3E2.0.CO%3B2-Y

Computational Molecular Biology: An Algorithmic Approach | WAREZ BLOG
Book descriptionin one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic ...
www.warez-blog.org/ ?p=9685

bi0203pr 3..8
Book reviews. Computational Molecular. Biology: An Algorithmic. Approach. Pavel A. Pevzner. MIT Press, Cambridge MA; 2000;. ISBN 0-262-16197-4; 332 pp.; ...
bib.oxfordjournals.org/ cgi/ reprint/ 2/ 3/ 303.pdf

An Eulerian path approach to DNA fragment assembly -- Pevzner et ...
Pevzner, pa (2000) Computational Molecular Biology: An Algorithmic Approach (MIT Press, Cambridge, MA). 25. Pevzner, pa & Tang, H. (2001) Bioinformatics 17, ...
www.pnas.org/ cgi/ content/ full/ 98/ 17/ 9748

Bioinformatics in Arkansas
0006, Computational Molecular Biology-An Algorithmic Approach. Pavel A. Pevzner .... 0063, Computational Molecular Biology: An Algorithmic Approach ...
bioinformatics.ualr.edu/ resources/ bioinformatics_library.html

ISCB Newsletter
COMPUTATIONAL MOLECULAR BIOLOGY: AN ALGORITHMIC APPROACH In one of the first major texts in the emerging field of computational molecular biology, ...
www.iscb.org/ archives/ news3.6.html

EDUCATION FORUM More About Books on the Web really write describe ...
Computational Molecular Biology: An Algorithmic Approach. This book. is to be published by MIT Press in June of 2000. I was unable to contact Pavel to ...
portal.acm.org/ citation.cfm?doid=346048.568486

Über den Autor (2003)

Pavel Pevzner is Ronald R. Taylor Professor of Computer Science and Director of the Bioinformatics and Systems Biology Program at the University of California, San Diego. He was named a Howard Hughes Medical Institute Professor in 2006.

Ron Shamir is the Raymond and Beverly Sackler Professor of Bioinformatics and Head of the Edmond J. Safra Bioinformatics Program at Tel Aviv University. He founded the joint Life Sciences/Computer Science undergraduate degree program in Bioinformatics at Tel Aviv University.

Bibliografische Informationen

QR code for Computational Molecular Biology
TitelComputational Molecular Biology
Band 12 von Topics in discrete mathematics
HerausgeberSorin Istrail, Pavel A. Pevzner, Ron Shamir
Ausgabeillustriert
VerlagGulf Professional Publishing, 2003
ISBN0444513841, 9780444513847
Länge177 Seiten
  
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