From c2325ed9f146fb310191470ff8264d908167e583 Mon Sep 17 00:00:00 2001 From: thjimmylee Date: Thu, 25 Mar 2021 11:10:15 +0000 Subject: [PATCH] =?UTF-8?q?Article=20is=20available=20on=20Nat=20Methods?= =?UTF-8?q?=2018,=20262=E2=80=93271=20(2021)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- DESCRIPTION | 2 +- README.md | 6 +++++- inst/CITATION | 8 ++++---- 3 files changed, 10 insertions(+), 6 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 9507b08..0578cd3 100755 --- 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 index 1e61401..30d558a 100755 --- 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 index 13766f6..506f33b 100755 --- 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" )