Data mining of molecular dynamics trajectories of nucleic acids.
作者： Agnes Noy , Tim Meyer , Manuel Rueda , Carles Ferrer , Antonio Valencia
DOI: 10.1080/07391102.2006.10507070
关键词: Monte Carlo method 、 Bottleneck 、 Computer science 、 Data processing 、 Nucleic acid 、 Molecular dynamics 、 Trajectory 、 Data mining
摘要: Analysis, storage, and transfer of molecular dynamic trajectories are becoming the bottleneck computer simulations. In this paper we discuss different approaches for data mining processing huge trajectory files generated from simulations nucleic acids.
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