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DEploid-dev · Apr 21, 2020 · 9f0b8e3 · 9f0b8e3
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -41,4 +41,4 @@ SystemRequirements: C++11
 VignetteBuilder: knitr
 LinkingTo: Rcpp
 RoxygenNote: 7.1.0
-Date: 2018-10-23
+Date: 2020-04-21
diff --git a/README.md b/README.md
@@ -28,7 +28,7 @@ For the developing version, please install Rcpp package first. From the R-consol
 > install.packages("Rcpp")
 ```
 
-(NOTE: If you are using Windows, please install `Rtools` from [https://cran.r-project.org/bin/windows/Rtools/](`Rtools`))
+(NOTE: If you are using Windows, please install `Rtools` from [https://cran.r-project.org/bin/windows/Rtools/](https://cran.r-project.org/bin/windows/Rtools/))
 
 then
 
@@ -54,14 +54,17 @@ Licence
 You can freely use all code in this project under the conditions of the GNU GPL Version 3 or later.
 
 
+Citation
+--------
+
 Citation
 --------
 
 If you use `dEploid` with the flag `-ibd`, please cite the following paper:
 
-Zhu, J. S., J. A. Hendry, J. Almagro-Garcia, R. D. Pearson, R. Amato, A. Miles, D. J. Weiss, T. C. D. Lucas, M. Nguyen, P. W. Gething, D. Kwiatkowski, G. McVean, and for the Pf3k Project. (2018) The origins and relatedness structure of mixed infections vary with local prevalence of *P. falciparum* malaria. *biorxiv*, doi: https://doi.org/10.1101/387266.
+Zhu, J. S., J. A. Hendry, J. Almagro-Garcia, R. D. Pearson, R. Amato, A. Miles, D. J. Weiss, T. C. D. Lucas, M. Nguyen, P. W. Gething, D. Kwiatkowski, G. McVean, and for the Pf3k Project. (2018) The origins and relatedness structure of mixed infections vary with local prevalence of *P. falciparum* malaria. *eLife*, 40845, doi: https://doi.org/10.7554/eLife.40845.
 
-If you use `dEploid` in your work, please cite the program:
 
-Zhu, J. S. J. A. Garcia G. McVean. (2017) Deconvoluting multiple infections in *Plasmodium falciparum* from high throughput sequencing data. *bioRxiv* 099499. doi: https://doi.org/10.1101/099499
+If you use `dEploid` in your work, please cite the program:
 
+Zhu, J. S., J. A. Garcia, G. McVean. (2018) Deconvolution of multiple infections in *Plasmodium falciparum* from high throughput sequencing data. *Bioinformatics* 34(1), 9-15. doi: https://doi.org/10.1093/bioinformatics/btx530.