Integrative analyses of single-cell transcriptome and regulome using MAESTRO.
IF: 17.906
Cited by: 102


We present Model-based AnalysEs of Transcriptome and RegulOme (MAESTRO), a comprehensive open-source computational workflow ( ) for the integrative analyses of single-cell RNA-seq (scRNA-seq) and ATAC-seq (scATAC-seq) data from multiple platforms. MAESTRO provides functions for pre-processing, alignment, quality control, expression and chromatin accessibility quantification, clustering, differential analysis, and annotation. By modeling gene regulatory potential from chromatin accessibilities at the single-cell level, MAESTRO outperforms the existing methods for integrating the cell clusters between scRNA-seq and scATAC-seq. Furthermore, MAESTRO supports automatic cell-type annotation using predefined cell type marker genes and identifies driver regulators from differential scRNA-seq genes and scATAC-seq peaks.


Spatial Transcriptomics
Gene Expression
Cell-type annotation
Computational workflow
Integrate scRNA-seq and scATAC-seq
Predict transcriptional regulators
Single-cell ATAC-seq
Single-cell RNA-seq

MeSH terms

Bone Marrow Cells
Case-Control Studies
Gene Expression Regulation
Leukemia, Lymphocytic, Chronic, B-Cell
Models, Genetic
Sequence Analysis, RNA
Single-Cell Analysis
Tumor Microenvironment


Wang, Chenfei
Sun, Dongqing
Huang, Xin
Wan, Changxin
Li, Ziyi
Han, Ya
Qin, Qian
Fan, Jingyu
Qiu, Xintao
Xie, Yingtian
Meyer, Clifford A
Brown, Myles
Tang, Ming
Long, Henry
Liu, Tao
Liu, X Shirley

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