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Integration2019
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# Comprehensive integration of single-cell data This repository provides code used to perform analyses presented in [*Comprehensive integration of single-cell data*](https://doi.org/10.1016/j.cell.2019.05.031). An open-access bioRxiv version of the manuscript can be found [here](https://doi.org/10.1101/460147). ## How to run the analysis All major components of the analysis can be reproduced using the [Snakemake](https://snakemake.readthedocs.io/en/stable/) workfow provided in this repository. Please note that there is a substantial amount of data required to reproduce the entire analysis (over 100 Gb). Individual plots can be reproduced by setting the snakemake target. For example, figure 2 of the paper can be reproduced by running: ``` snakemake figure2 ``` All the available rules can be viewed in the snakemake file. ## Citation ``` @article{, title = "Comprehensive integration of single-cell data", author = "Stuart, Tim and Butler, Andrew and Hoffman, Paul and Hafemeister, Christoph and Papalexi, Efthymia and Mauck, William M and Hao, Yuhan and Stoeckius, Marlon and Smibert, Peter and Satija, Rahul", journal = "Cell", month = jun, year = 2019, url = "https://doi.org/10.1016/j.cell.2019.05.031" language = "en" } ```