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

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methodistsmab/CCCExplorer

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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

It support multiple cell types and other new features. Alt text Alt text

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_v1.1.0.pdf

Sample test

We provide some samples in the sample folder of our CCCExplorer_v1.1.0.zip. You can test it.

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 and Support

Software Support

Xiaohui Yu

Email: xyu2@houstonmethodist.org

Algorithms Support

Jianting Sheng

Email: jsheng@houstonmethodist.org

Principal Investigator

Wong, Stephen

Email: STWong@houstonmethodist.org

Houston Methodist Research Institute

DEPARTMENT OF SYSTEMS MEDICINE & BIOENGINEERING

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

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