Cobolt: integrative analysis of multimodal single-cell sequencing data.
Cobolt: integrative analysis of multimodal single-cell sequencing data.
复制标题
Cobolt：多模式单细胞测序数据的综合分析。
DOI：
10.1186/s13059-021-02556-z
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发表时间：
2021-12-28
期刊：
影响因子：
12.3
通讯作者：
Purdom E
中科院分区：
文献类型：
--
作者：
Gong B;Zhou Y;Purdom E
越来越多的单细胞测序平台使来自相同细胞的多个组学的联合图谱成为可能。我们提出了一种新的方法，它不仅允许分析联合模式平台的数据，而且为整合在不同模式下测量的多个数据集提供了一个连贯的框架。我们展示了它在基因表达和染色质可及性多模式数据上的性能，并通过与单细胞RNA-SEQ和ATAC-SEQ数据集的联合分析来说明Cobolt的整合能力。网上版载有补充材料，可在(10.1186/s13059-021-02556-z)查阅。
A growing number of single-cell sequencing platforms enable joint profiling of multiple omics from the same cells. We present Cobolt, a novel method that not only allows for analyzing the data from joint-modality platforms, but provides a coherent framework for the integration of multiple datasets measured on different modalities. We demonstrate its performance on multi-modality data of gene expression and chromatin accessibility and illustrate the integration abilities of Cobolt by jointly analyzing this multi-modality data with single-cell RNA-seq and ATAC-seq datasets. The online version contains supplementary material available at (10.1186/s13059-021-02556-z).