{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:38:15Z","timestamp":1761863895579,"version":"3.37.3"},"reference-count":13,"publisher":"Oxford University Press (OUP)","issue":"24","license":[{"start":{"date-parts":[[2018,7,4]],"date-time":"2018-07-04T00:00:00Z","timestamp":1530662400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Immunocore Ltd"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Interactive platform for single-cell RNA-sequencing (iS-CellR) is a web-based Shiny application that is designed to provide user-friendly, comprehensive analysis of single-cell RNA sequencing data. iS-CellR has the capability to run on any modern web browser and provides an accessible graphical user interface that enables the user to perform complex single-cell RNA-sequencing analysis without requiring programming skills.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>iS-CellR is open source and available through GitHub at https:\/\/github.com\/immcore\/iS-CellR. iS-CellR is implemented in Docker and can be launched on any operating system with Docker installed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty517","type":"journal-article","created":{"date-parts":[[2018,7,4]],"date-time":"2018-07-04T03:13:02Z","timestamp":1530673982000},"page":"4305-4306","source":"Crossref","is-referenced-by-count":22,"title":["iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data"],"prefix":"10.1093","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5032-5960","authenticated-orcid":false,"given":"Mitulkumar V","family":"Patel","sequence":"first","affiliation":[{"name":"Immunocore Ltd, Abingdon, Oxfordshire, UK"}]}],"member":"286","published-online":{"date-parts":[[2018,7,4]]},"reference":[{"key":"2023012712245569800_bty517-B1","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1186\/s12859-016-1176-5","article-title":"FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data","volume":"17","author":"DeTomaso","year":"2016","journal-title":"BMC Bioinformatics"},{"key":"2023012712245569800_bty517-B2","doi-asserted-by":"crossref","first-page":"2219","DOI":"10.1093\/bioinformatics\/btw201","article-title":"SCell: integrated analysis of single-cell RNA-seq data","volume":"32","author":"Diaz","year":"2016","journal-title":"Bioinformatics"},{"key":"2023012712245569800_bty517-B3","doi-asserted-by":"crossref","first-page":"278.","DOI":"10.1186\/s13059-015-0844-5","article-title":"MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data","volume":"16","author":"Finak","year":"2015","journal-title":"Genome Biol"},{"key":"2023012712245569800_bty517-B4","doi-asserted-by":"crossref","first-page":"3123","DOI":"10.1093\/bioinformatics\/btx337","article-title":"ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data","volume":"33","author":"Gardeux","year":"2017","journal-title":"Bioinformatics"},{"key":"2023012712245569800_bty517-B5","doi-asserted-by":"crossref","first-page":"1058","DOI":"10.1038\/nmeth.3578","article-title":"Interactive analysis and assessment of single-cell copy-number variations","volume":"12","author":"Garvin","year":"2015","journal-title":"Nat. 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