Department of Chemical Engineering, Stanford University, Stanford, California, United States of America.
PLoS One. 2012;7(2):e30024. doi: 10.1371/journal.pone.0030024. Epub 2012 Feb 20.
Single molecule studies have expanded rapidly over the past decade and have the ability to provide an unprecedented level of understanding of biological systems. A common challenge upon introduction of novel, data-rich approaches is the management, processing, and analysis of the complex data sets that are generated. We provide a standardized approach for analyzing these data in the freely available software package SMART: Single Molecule Analysis Research Tool. SMART provides a format for organizing and easily accessing single molecule data, a general hidden Markov modeling algorithm for fitting an array of possible models specified by the user, a standardized data structure and graphical user interfaces to streamline the analysis and visualization of data. This approach guides experimental design, facilitating acquisition of the maximal information from single molecule experiments. SMART also provides a standardized format to allow dissemination of single molecule data and transparency in the analysis of reported data.
单分子研究在过去十年中迅速发展,有能力提供对生物系统的前所未有的理解水平。在引入新的、数据丰富的方法时,一个常见的挑战是管理、处理和分析生成的复杂数据集。我们提供了一种在免费软件包 SMART 中分析这些数据的标准化方法:单分子分析研究工具。SMART 为组织和轻松访问单分子数据提供了一种格式,为拟合用户指定的一系列可能模型提供了通用的隐马尔可夫建模算法,为简化数据分析和可视化提供了标准化的数据结构和图形用户界面。这种方法指导实验设计,有助于从单分子实验中获取最大信息。SMART 还提供了一种标准化格式,允许传播单分子数据,并在分析报告的数据时保持透明度。