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MOJITOO: a fast and universal method for integration of multimodal single cell data

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MOJITOO

Mingbo Cheng1, Zhijian Li1, Ivan G. Costa1*

1Institute for Computational Genomics, Faculty of Medicine, RWTH Aachen University, Aachen, 52074 Germany

Installation

Default R version
install.packages("devtools")
devtools::install_github("CostaLab/MOJITOO", build_vignettes = TRUE)
Python version alternative

We have implemented a simple python version, please check out the installation detail at pymojitoo.

Howto

The MOJITOO integration using Seurat can be found at seurat. ArchR example of integration is ArchR. Integration using R matrix example can be found Matrix.

References:

MOJITOO: a fast and universal method for integration of multimodal single cell data link

citation:

@article{cheng2022mojitoo,
  title={MOJITOO: a fast and universal method for integration of multimodal single-cell data},
  author={Cheng, Mingbo and Li, Zhijian and Costa, Ivan G},
  journal={Bioinformatics},
  volume={38},
  number={Supplement\_1},
  pages={i282--i289},
  year={2022},
  publisher={Oxford University Press}
}

Code from MOJITOO Benchmarking

https://github.com/CostaLab/MOJITOO-reproducibility.git

Data Set

This is deposited in zenodo: DOI

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