CCCbank CCCbank: an integrated computational pipeline for CCC inference by flexibly combining inference methods and prior databases

Introduction

To facilitate practical applications of CCC inference tools, we developed an integrated computational pipeline, CCCbank, that enables flexible combinations between 16 LR inference methods and 13 LR databases. Via CCCbank, each method can be equipped with one or more LR databases or any other user-defined databases. CCCbank uses Seurat object of scRNA-seq data as input for CCC inference. The output of CCCbank includes inferred LR pairs and their scores, which can be used for further analysis or visualization.

Publications

  1. ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods
    Luo J, Deng M, Zhang X, Sun X, - Genome Research
    Cited by Luo, Jiaxin et al. “ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods.” Genome research vol. 33,10 (2023): 1788-1805. doi:10.1101/gr.278001.123 (Google Schoolar as of February 23, 2024)

Credits

  1. Xiaoqiang Sun sunxq6@mail.sysu.edu.cn
    Investigator

    School of Mathematics, Sun Yat-sen University, China

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Summary
AccessionBT007418
Tool TypeToolkit
CategoryIntercellular signaling data
PlatformsWindows
TechnologiesPython2, Python3, R
User InterfaceTerminal Command Line
Latest Release1.0 (February 23, 2024)
Download Count229
Country/RegionChina
Submitted ByXiaoqiang Sun
Fundings

National Key R&D Program of China (2021YFF1200903)