Update README.md

README.md

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 # Portal-reproducibility
-Codes for reproducing the experiments of the paper "Adversarial domain translation networks enable fast and accurate large-scale atlas-level single-cell data integration".
+Codes for reproducing the experiments of the paper "Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets". [Portal package](https://github.com/YangLabHKUST/Portal).
 
 + [Integration of mouse spleen datasets](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-Spleen.html) (we reproduce the result of performance metrics in this notebook as an example). [Benchmarking](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Benchmarking-Spleen.html). 
 + [Integration of mouse marrow datasets](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-Marrow.html).
@@ -14,3 +14,10 @@ Codes for reproducing the experiments of the paper "Adversarial domain translati
 + [Integration of scRNA-seq and scATAC-seq datasets](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-PBMC-ATACseq.html).
 + [Integration of developmental trajectories](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-trajectory.html).
 + [Integration of spermatogenesis differentiation process across multiple species](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-Spermatogenesis.html). Gene lists from Ensembl Biomart (we only use genes that are assigned with the type "ortholog_one2one" in the lists): [orthologues (human vs mouse)](https://github.com/jiazhao97/Portal-reproducibility/raw/main/orthologues_human_mouse.txt), [orthologues (human vs macaque)](https://github.com/jiazhao97/Portal-reproducibility/raw/main/orthologues_human_macaque.txt).
+
+## Portal Package
+Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, The Tabula Microcebus Consortium, Angela Ruohao Wu, Can Yang. Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets. bioRxiv 2021.11.16.468892; doi: [https://doi.org/10.1101/2021.11.16.468892](https://doi.org/10.1101/2021.11.16.468892).
+
+
+## Citation
+Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, The Tabula Microcebus Consortium, Angela Ruohao Wu, Can Yang. Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets. bioRxiv 2021.11.16.468892; doi: [https://doi.org/10.1101/2021.11.16.468892](https://doi.org/10.1101/2021.11.16.468892).