Chromatin organization remains complex and far from understood. In this article, we review recent statistical methods of extracting biophysical parameters from in vivo single-particle trajectories of loci to reconstruct chromatin reorganization in response to cellular stress such as DNA damage. We look at methods for analyzing both single locus and multiple loci tracked simultaneously and explain how to quantify and describe chromatin motion using a combination of extractable parameters. These parameters can be converted into information about chromatin dynamics and function. Furthermore, we discuss how the timescale of recurrent encounter between loci can be extracted and interpreted. We also discuss the effect of sampling rate on the estimated parameters. Finally, we review a polymer method to reconstruct chromatin structure using crosslinkers between chromatin sites. We list and refer to some software packages that are now publicly available to simulate polymer motion. To conclude, chromatin organization and dynamics can be reconstructed from locus trajectories and predicted based on polymer models.

染色质的组织仍然很复杂，还远未了解。在本文中，我们回顾了从体内提取生物物理参数的最新统计方法位点的单颗粒轨迹，以响应细胞应力（例如DNA损伤）来重建染色质重组。我们着眼于分析同时跟踪的单个基因座和多个基因座的方法，并说明如何使用可提取参数的组合来量化和描述染色质运动。这些参数可以转换为有关染色质动力学和功能的信息。此外，我们讨论了如何提取和解释基因座之间反复遭遇的时间尺度。我们还将讨论采样率对估计参数的影响。最后，我们回顾了一种利用染色质位点之间的交联剂重建染色质结构的聚合物方法。我们列出并引用了一些现已公开提供的用于模拟聚合物运动的软件包。总而言之，