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Other titles in the Lecture Notes in Computer Science series:

Lecture Notes in Computer Science #4645: Algorithms in Bioinformatics: 7th International Workshop, Wabi 2007, Philadelphia, Pa, USA, September 8-9, 2007, Proceedings

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Lecture Notes in Computer Science #4645: Algorithms in Bioinformatics: 7th International Workshop, Wabi 2007, Philadelphia, Pa, USA, September 8-9, 2007, Proceedings Cover

 

Synopses & Reviews

Publisher Comments:

This book constitutes the refereed proceedings of the 7th International Workshop on Algorithms in Bioinformatics, WABI 2007, held in Philadelphia, PA, USA in September 2007. The 38 revised full papers presented together with the abstract of a keynote talk were carefully reviewed and selected from 133 submissions. All current issues of algorithms in bioinformatics are addressed, ranging from mathematical tools to experimental studies of approximation algorithms and reports on significant computational analyses. Numerous biological problems are dealt with, including genetic mapping, sequence alignment and sequence analysis, phylogeny, comparative genomics, and protein structure. Furthermore the papers feature high-performance computing approaches to computationally hard learning and optimization problems in bioinformatics and cover methods, software and dataset repositories for development and testing of such algorithms and their underlying models.

Synopsis:

The refereed proceedings from the 7th International Workshop on Algorithms in Bioinformatics are provided in this volume. Papers address current issues in algorithms in bioinformatics, ranging from mathematical tools to experimental studies of approximation algorithms to significant computational analyses. Biological problems examined include genetic mapping, sequence alignment and analysis, phylogeny, comparative genomics, and protein structure.

Product Details

ISBN:
9783540741251
Author:
Hannenhalli, Sridhar
Publisher:
Springer
Editor:
Giancarlo, Raffaele
Author:
Giancarlo, Raffaele
Subject:
Computer Science
Subject:
Discrete Mathematics
Subject:
Bioinformatics
Subject:
Personal Computers-General
Subject:
algorithmics
Subject:
approximation algorithms
Subject:
clustering
Subject:
Combinatorial optimization
Subject:
Computational Biology
Subject:
Data analysis
Subject:
Data mining
Subject:
discrete mathematic
Subject:
Functional genomics
Subject:
gene networks
Subject:
genetic mapping
Subject:
genome analysis
Subject:
genomic indexing
Subject:
Graph Computations
Subject:
Machine learning
Subject:
Molecular biology
Subject:
pathways
Subject:
pattern searching
Subject:
protein analysis
Subject:
Proteomics
Subject:
searching algorithms
Subject:
Segmentation
Subject:
Sequence Analysis.
Subject:
string matching
Subject:
structure prediction
Subject:
Algorithm Analysis and Problem Complexity
Subject:
Computation by Abstract Devices
Subject:
Data structures
Subject:
Discrete Mathematics in Computer Science
Subject:
Probability and Statistics in Computer Science
Subject:
Computational Biology/Bioinformatics
Subject:
data mini
Subject:
Ng
Copyright:
Edition Description:
Book
Series:
Lecture Notes in Computer Science / Lecture Notes in Bioinformatics
Series Volume:
4645
Publication Date:
20071003
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
445
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » Bioinformatics
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Science and Mathematics » Mathematics » Advanced

Lecture Notes in Computer Science #4645: Algorithms in Bioinformatics: 7th International Workshop, Wabi 2007, Philadelphia, Pa, USA, September 8-9, 2007, Proceedings New Trade Paper
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$130.25 In Stock
Product details 445 pages Springer - English 9783540741251 Reviews:
"Synopsis" by , The refereed proceedings from the 7th International Workshop on Algorithms in Bioinformatics are provided in this volume. Papers address current issues in algorithms in bioinformatics, ranging from mathematical tools to experimental studies of approximation algorithms to significant computational analyses. Biological problems examined include genetic mapping, sequence alignment and analysis, phylogeny, comparative genomics, and protein structure.
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