改变版本1.1.3重大变化——支持“多功能”分析,如平行的多个特性分析(垃圾箱,山峰或基因)在同一对象。——新的“覆盖”选项卡&功能generate_coverage_tracks()和plot_coverage_BigWig集群()来生成跟踪报道和交互式地想象位点/基因感兴趣的应用程序。-新国际米兰和intra-correlation小提琴情节vizualise细胞内相关之间的分布和集群。-新的标准化方法:TF-IDF结合系统删除PC1强烈与图书馆相关的大小。——简单的拷贝数变化的近似和可视化使用“calculate_CNA”功能基因重新样品,提供一个或多个控制样本。-新generate_analysis () & generate_report()函数来运行一个全面ChromSCape分析和/或生成一个HTML交互式报告现有的分析。——支持“定制”微分分析找到微分位点之间的一个子集样品和/或集群。——新途径覆盖UMAP可视化累积途径信号直接在细胞。——现在支持片段文件的输入(例如从10 x细胞管理员scATAC管道),使用包装的Signac包FeatureMatrix()函数。——新贡献PCA的情节显示最有贡献的特性和染色体PCA。 - Restructuration of the ChromSCape directory & faster reading/saving of S4 objects using package 'qs'. Minor Changes - RAM optimisation & faster pearson cell-to-cell correlations with 'coop' package, and use of 'Rcpp' for as_dist() RAM-efficient distance calculation. - Faster correlation filtering using multi-parallel processing. - plot_reduced_dim now supports gene input to color cells by gene signal. - All plots can now be saved in High Quality PDF files. - Changed 'geneTSS' to 'genebody' with promoter extension to better reflect the fact that mark spread in genebodies. - Possibility to rename samples in the application. - Downsampling of UMAPs & Heatmaps for fluider navigation. - Changed 'total cell percent based' feature selection to manual selection of top-covered features, as the previous was srongly dependent on the experiment size. - Faster sparse SVD calculation. - Faster differential analysis using pairWise Wilcoxon rank test from 'scran' package.