liyanli22/cccexplorer

Paper - Transcriptome analysis of individual stromal cell populations identifies stroma-tumor crosstalk in mouse lung cancer model

CCCExplorer

CCCExplorer is a java-based software that predicts and visualizes the gene signaling network to aid research on crosstalk identification in the tumor microenvironment. CCCExplorer integrates a computational model that we developed to uncover cell-cell communication as a direct and connected network. These cell communications range from ligand-receptor interactions to transcription factors and their target genes.

Please cite the following paper when you use CCCExplorer.

Transcriptome analysis of individual stromal cell populations identifies stroma-tumor crosstalk in mouse lung cancer model. H Choi, J Sheng, et al. Cell Reports, 2015. 24;10(7):1187-201

The version 2 of CCCExplorer is under internal testing and will be comming soon.

It support multiple cell types and other new features.

MacOS verison Download

https://www.dropbox.com/s/1y1or8ougjkzu3x/CCCExplorer_MacOS.zip?dl=0

How to use CCCExplorer

Youtube video URL:

https://youtu.be/wN4vHV6hoig

User Guide

Please read the guide before you run CCCExplorer

https://github.com/methodistsmab/CCCExplorer/blob/master/CCCExplorer%20user_guide_v1.pdf

License Agreement

https://github.com/methodistsmab/CCCExplorer/blob/master/CCCExplorer_End_User_License_Agreement.pdf

Grant information

http://csbconsortium.staging.wpengine.com/?page_id=504

Synapse Wiki

https://www.synapse.org/#!Synapse:syn9775595/wiki/427099

Contact

Xiaohui Yu

Email: [email protected]

Jianting Sheng

Email: [email protected]

Wong, Stephen (PI)

Email: [email protected]

Houston Methodist Research Institute

DEPARTMENT OF SYSTEMS MEDICINE & BIOENGINEERING