{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T13:47:55Z","timestamp":1790257675326,"version":"4.1.0"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"16","license":[{"start":{"date-parts":[[2016,10,28]],"date-time":"2016-10-28T00:00:00Z","timestamp":1477612800000},"content-version":"vor","delay-in-days":201,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,8,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Single-cell RNA-seq (scRNA-seq) is emerging as a promising technology for profiling cell-to-cell variability in cell populations. However, the combination of technical noise and intrinsic biological variability makes detecting technical artifacts in scRNA-seq samples particularly challenging. Proper detection of technical artifacts is critical to prevent spurious results during downstream analysis. In this study, we present \u2018Single-cell RNA-seq Quality Control\u2019 (SinQC), a method and software tool to detect technical artifacts in scRNA-seq samples by integrating both gene expression patterns and data quality information. We apply SinQC to nine different scRNA-seq datasets, and show that SinQC is a useful tool for controlling scRNA-seq data quality.<\/jats:p>\n               <jats:p>Availability and Implementation: SinQC software and documents are available at http:\/\/www.morgridge.net\/SinQC.html<\/jats:p>\n               <jats:p>Contacts: PJiang@morgridge.org or RStewart@morgridge.org<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw176","type":"journal-article","created":{"date-parts":[[2016,4,12]],"date-time":"2016-04-12T01:13:10Z","timestamp":1460423590000},"page":"2514-2516","source":"Crossref","is-referenced-by-count":45,"title":["Quality control of single-cell RNA-seq by SinQC"],"prefix":"10.1093","volume":"32","author":[{"given":"Peng","family":"Jiang","sequence":"first","affiliation":[{"name":"1 Regenerative Biology Laboratory, Morgridge Institute for Research, Madison, WI 53707, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James A.","family":"Thomson","sequence":"additional","affiliation":[{"name":"1 Regenerative Biology Laboratory, Morgridge Institute for Research, Madison, WI 53707, USA"},{"name":"2 Department of Cell and Regenerative Biology, University of Wisconsin, Madison, WI 53706, USA"},{"name":"3 Department of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, CA 93106, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ron","family":"Stewart","sequence":"additional","affiliation":[{"name":"1 Regenerative Biology Laboratory, Morgridge Institute for Research, Madison, WI 53707, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2016,4,10]]},"reference":[{"key":"2023020112534466200_btw176-B1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/nmeth.2769","article-title":"The promise of single-cell sequencing","volume":"11","author":"Eberwine","year":"2014","journal-title":"Nat. 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