Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4645)
Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)
Conference series link(s): WABI: International Workshop on Algorithms in Bioinformatics
Conference proceedings info: WABI 2007.
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Table of contents (39 papers)
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Front Matter
Heuristics for the Gene-Duplication ProblemAbout this book
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.
Bibliographic Information
Book Title: Algorithms in Bioinformatics
Book Subtitle: 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007, Proceedings
Editors: Raffaele Giancarlo, Sridhar Hannenhalli
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-74126-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Softcover ISBN: 978-3-540-74125-1Published: 22 August 2007
eBook ISBN: 978-3-540-74126-8Published: 24 August 2007
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 434
Topics: Programming Techniques, Life Sciences, general, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Data Structures, Discrete Mathematics in Computer Science