Time course regulatory analysis based on paired expression and chromatin accessibility data is a research paper published in Genome Research (2020). On theSindex it has a DataRank of 0. It has been cited 64 times.
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National Institutes of Health
Grant: R01HG010359
National Institutes of Health
Grant: P50HG007735
National Natural Science Foundation of China
Grant: 11871463
National Natural Science Foundation of China
Grant: 61671444
Strategic Priority Research Program of the Chinese Academy of Sciences
Grant: XDB13000000
National Institutes of Health
Grant: 5R01HG010359-04
Statistical methods for gene regulatory analysis and single cell genomics
National Institutes of Health
Grant: 5P50HG007735-02
Project 4
Fields of Study
Keywords
Additional file 1 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 1 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 2 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 2 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 3 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 3 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 1 of SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
Additional file 1 of SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
Additional file 2 of SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
Additional file 2 of SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors