Abstract：
During meiosis, transient associations between the nuclear envelope and telomeres transmit nuclear movements to chromosomes, enabling their pairing and recombination. Recent advances in the field of quantitative cell biology allow a large volume of information about the kinetics of these chromosome movements to be extracted and analyzed with the aim of identifying biologically relevant movement patterns. To this end, we have developed ChroMo, a freely available application for the unsupervised study of chromosome movements in fission yeast meiosis. ChroMo contains a set of time series algorithms to identify chromosome movement motifs that are not easily observable by direct human visualization and to establish causal relationships between phenotypes. In this chapter, we present a detailed protocol for the processing of raw live imaging data from fission yeast and its subsequent analysis in ChroMo.
摘要：
在减数分裂期间,核包膜和端粒之间的短暂关联将核运动传递到染色体，使他们的配对和重组。定量细胞生物学领域的最新进展允许提取和分析有关这些染色体运动的动力学的大量信息，以识别生物学相关的运动模式。为此,我们开发了ChroMo,裂殖酵母减数分裂中染色体运动无监督研究的免费应用。ChroMo包含一组时间序列算法，用于识别不容易通过直接人类可视化观察到的染色体运动基序，并建立表型之间的因果关系。在这一章中,我们提出了一个详细的协议，用于处理来自裂殖酵母的原始实时成像数据及其在ChroMo中的后续分析。
