研究细胞通讯的神器都在这里了

前面给打大家安利了一篇2021年新鲜出炉的综述：Nature Review|从基因表达解读细胞间的相互作用和交流。

今天给大家汇总一下这篇综述里面列举出的几个目前用的比较多的，也是学术界比较认可的研究细胞通讯的工具。

1.CellTalker

编程语言:R

软件网址:

https://github.com/arc85/celltalker

文章网址:

https://www.sciencedirect.com/science/article/pii/S1074761319304959

2.iTALK

编程语言:R

软件网址:

https://github.com/Coolgenome/iTALK

文章网址:

https://doi.org/10.1101/507871

3.CellChat

编程语言:R and Web interface

软件网址:

https://github.com/sqjin/CellChat

文章网址:

https://www.biorxiv.org/content/10.1101/2020.07.21.214387v1

4.CellPhoneDB

编程语言:Python and Web interface

软件网址:

https://github.com/Teichlab/cellphonedb

文章网址:

https://www.nature.com/articles/s41586-018-0698-6

5.Giotto

编程语言:R

软件网址:

https://github.com/RubD/Giotto

文章网址:

https://www.biorxiv.org/content/10.1101/701680v3

6.ICELLNET

编程语言:R

软件网址:

https://github.com/soumelis-lab/ICELLNET

文章网址:

https://www.biorxiv.org/content/10.1101/2020.03.05.976878v1

7.NicheNet

编程语言:R

软件网址:

https://github.com/saeyslab/nichenetr

文章网址:

https://www.nature.com/articles/s41592-019-0667-5

8.SoptSC

编程语言:MATLAB and R

软件网址:

https://github.com/WangShuxiong/SoptSC

文章网址:

https://academic.oup.com/nar/article/47/11/e66/5421812

9.scTensor

编程语言:R

软件网址:

https://github.com/rikenbit/scTensor

文章网址:

https://www.biorxiv.org/content/10.1101/566182v1

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