Algorithms in Bioinformatics
7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007, Proceedings
Herausgegeben: Giancarlo, Raffaele; Hannenhalli, Sridhar
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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 alig...
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.
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.
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