The workshop covers research in all aspects of algorithms in bioinformatics. The emphasis is on discrete algorithms for important problems in molecular biology, that are founded on sound models, that are computationally efficient, and that have been implemented and tested in simulations and on real datasets. The goal is to present recent results, including significant work-in-progress, and to identify and explore new directions of research. Original research papers (including significant work-in-progress) or state-of-the-art surveys are solicited in all aspects of algorithms in bioinformatics, including, but not limited to: *Exact and approximate algorithms for sequence analysis, gene and signal recognition, alignment and assembly, molecular evolution, structure determination or prediction, gene expression, gene networks, proteomics, functional genomics, and drug design. *Development of methods, software, and dataset repositories for development and testing of such algorithms and their underlying models. *High-performance computing approaches to computationally hard optimization problems in bioinformatics.
Casadio R., Myers G. (2005). 5th Workshop on Algorithms in Bioinformatics - WABI 2005.
5th Workshop on Algorithms in Bioinformatics - WABI 2005
CASADIO, RITA;
2005
Abstract
The workshop covers research in all aspects of algorithms in bioinformatics. The emphasis is on discrete algorithms for important problems in molecular biology, that are founded on sound models, that are computationally efficient, and that have been implemented and tested in simulations and on real datasets. The goal is to present recent results, including significant work-in-progress, and to identify and explore new directions of research. Original research papers (including significant work-in-progress) or state-of-the-art surveys are solicited in all aspects of algorithms in bioinformatics, including, but not limited to: *Exact and approximate algorithms for sequence analysis, gene and signal recognition, alignment and assembly, molecular evolution, structure determination or prediction, gene expression, gene networks, proteomics, functional genomics, and drug design. *Development of methods, software, and dataset repositories for development and testing of such algorithms and their underlying models. *High-performance computing approaches to computationally hard optimization problems in bioinformatics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.