Single-Particle Tracking Data For "Ctcf Sites Display Cell Cycle Dependent Dynamics In Factor Binding And Nucleosome Positioning"
收藏资源简介:
This dataset contains all the raw SPT data reported in "CTCF sites display cell cycle dependent dynamics in factor binding and nucleosome positioning" in the form of SPT trajectories. The SPT trajectories are provided in two different formats for convenience: a CSV format and a Matlab format. Both formats are readable by Spot-On: https://spoton.berkeley.edu/ The SPT data contains "fast tracking" spaSPT data and this data was analyzed using the Matlab version of Spot-On which can be found and downloaded at: https://gitlab.com/tjian-darzacq-lab/spot-on-matlab Full details about the Matlab and CSV formats are provided in the ReadMe files in the associated zip files. Please see the associated manuscript for a detailed description of how the data was acquired and analyzed.
本数据集以单粒子追踪(Single Particle Tracking, SPT)轨迹的形式,收录了发表于论文《CTCF位点展现因子结合与核小体定位的细胞周期依赖性动态变化》(CTCF sites display cell cycle dependent dynamics in factor binding and nucleosome positioning)中的全部原始SPT数据。为便于使用,本数据集提供两种格式的SPT轨迹:CSV格式与Matlab格式。两种格式均可被Spot-On读取,其官方访问地址为:https://spoton.berkeley.edu/。本SPT数据包含“快速追踪”型稀疏单粒子追踪(spaSPT)数据,且已通过Spot-On的Matlab版本完成分析,该工具可从以下地址获取并下载:https://gitlab.com/tjian-darzacq-lab/spot-on-matlab。关于Matlab与CSV格式的完整说明,请参阅配套压缩包中的ReadMe文件。如需了解数据采集与分析的详细流程,请参阅配套学术论文。



