title	author	date	output
MolCell_README	Peng	2017/11/25	html_document

Source code of the manuscript Dissecting cell-type composition and activity-dependent transcriptional state in mammalian brains by massively parallel single-nucleus RNA-Seq (Molecular Cell)

Content

• MolCell_Fig1.md: source code for generating Figures 1B-G, S1E, 2E, S2A-B, and S3C
• MolCell_Fig2.md: source code for generating Figure 2 except 2E
• MolCell_Fig3.md: source code for generating Figures 3A, 3C, 3D and S3D
• MolCell_Fig4.md: source code for generating Figures 4B, 4C and S4
• MolCell_FigS3E-G.md: source code for generating Figures S3E-G

data folder contains the raw UMI count and pre-processed data, which were used as input in the above markdown files. The data folder can be downloaded from link

Reference

If you found this code useful, please cite the following paper:

Hu, P., Fabyanic, E., Kwon, D. Y., Tang, S., Zhou, Z., & Wu, H. (2017). Dissecting Cell-Type Composition and Activity-Dependent Transcriptional State in Mammalian Brains by Massively Parallel Single-Nucleus RNA-Seq. Molecular cell, 68(5), 1006-1015.

Contact

• Peng Hu
• penghu@upenn.edu