Update README.md

README.md

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 [badge-docs]: https://img.shields.io/readthedocs/oor_benchmark
 
 One of the goals of reference-based single-cell RNA-seq analysis is to detect altered cell states that are not observed in the reference dataset.
-This repository contains code to benchmark workflows for integration and differential analysis on the task of detection of Out-of-reference (OOR) states, used in our [preprint](https://www.biorxiv.org/content/10.1101/2022.11.10.515939v1) on reference design for disease state identification. For code to reproduce analysis in the manuscript see the [reproducibility repo](https://github.com/MarioniLab/oor_design_reproducibility).
+This repository contains code to benchmark workflows for integration and differential analysis on the task of detection of Out-of-reference (OOR) states, used in our [paper](https://www.nature.com/articles/s41588-023-01523-7) on reference design for disease state identification. For code to reproduce analysis in the manuscript see the [reproducibility repo](https://github.com/MarioniLab/oor_design_reproducibility).
 
 The structure of the API was inspired by the [OpenProblems](https://github.com/openproblems-bio/openproblems) task structure. This package was built using the [scverse cookiecutter template](https://github.com/scverse/cookiecutter-scverse).
 
@@ -68,7 +68,7 @@ If you found a bug, please use the [issue tracker][issue-tracker]. -->
 
 ## Citation
 
-> Dann E., Teichmann S.A. and Marioni J.C. Precise identification of cell states altered in disease with healthy single-cell references. _biorXiv_ https://doi.org/10.1101/2022.11.10.515939
+> Dann E., Cujba A.M., Oliver A.J., Meyer K., Teichmann S.A. and Marioni J.C. Precise identification of cell states altered in disease with healthy single-cell references. _Nature Genetics_ https://doi.org/10.1038/s41588-023-01523-7
 
 [scverse-discourse]: https://discourse.scverse.org/
 [issue-tracker]: https://github.com/emdann/oor_benchmark/issues