Article is available on Nat Methods 18, 262–271 (2021)

hemberg-lab · Mar 25, 2021 · c2325ed · c2325ed
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -39,7 +39,7 @@ biocViews: SingleCell, Software, RNASeq, Transcriptomics,
             GeneExpression
 NeedsCompilation: yes
 URL: https://github.com/hemberg-lab/scfind
-BugReports: https://support.bioconductor.org/t/scfind/
+BugReports: https://github.com/hemberg-lab/scfind/issues
 LazyData: true
 Collate: 
     'AllGenerics.R'

diff --git a/README.md b/README.md
@@ -95,7 +95,11 @@ __A__: Please use [this page](https://github.com/hemberg-lab/scfind/issues).
 
 __Q__: Is __scfind__ published?  
 
-__A__: Not yet, but a copy of __scfind__ manuscript is available on [bioRxiv](https://doi.org/10.1101/788596).
+__A__: The preprint of `scfind` is available on [bioRxiv](https://doi.org/10.1101/788596). The final version of the article is available on [Nature Methods](https://doi.org/10.1038/s41592-021-01076-9). The press release of `scfind` can be found on [Wellcome Sanger Institute](https://www.sanger.ac.uk/news_item/new-search-engine-for-single-cell-atlases/). To cite this paper, article: 
+
+```
+Lee, J.T.H., Patikas, N., Kiselev, V.Y. et al. Fast searches of large collections of single-cell data using scfind. Nat Methods 18, 262–271 (2021). https://doi.org/10.1038/s41592-021-01076-9
+```
 
 __Q__: What is __scfind__ licence?
 

diff --git a/inst/CITATION b/inst/CITATION
@@ -7,12 +7,12 @@ citEntry(entry="article",
              as.person("Nikolaos Patikas"),
              as.person("Vladimir Yu. Kiselev"),
              as.person("Martin Hemberg")),
-         year = 2019,
-         journal = "bioRxiv",
-         url = "https://doi.org/10.1101/788596",
+         year = 2021,
+         journal = "Nature Methods",
+         url = "https://doi.org/10.1038/s41592-021-01076-9",
          textVersion = 
              paste(
-                 "Jimmy Tsz Hang Lee, Nikolaos Patikas, Vladimir Yu. Kiselev, Martin Hemberg (2019): ", 
+                 "Jimmy Tsz Hang Lee, Nikolaos Patikas, Vladimir Yu. Kiselev, Martin Hemberg (2021): ", 
                  "Fast searches of large collections of single cell data using scfind",
                  "github,",
                  "URL: https://github.com/hemberg-lab/scfind" )