{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:35:00Z","timestamp":1772138100401,"version":"3.50.1"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T00:00:00Z","timestamp":1575331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Sylvia and Charles Viertel Senior Medical Research Fellowship"},{"name":"Howard Hughes Medical Institute International Research Scholarship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Due to the scale and sparsity of single-cell RNA-sequencing data, traditional plots can obscure vital information. Our R package schex overcomes this by implementing hexagonal binning, which has the additional advantages of improving speed and reducing storage for resulting plots.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>schex is freely available from Bioconductor via http:\/\/bioconductor.org\/packages\/release\/bioc\/html\/schex.html and its development version can be accessed on GitHub via https:\/\/github.com\/SaskiaFreytag\/schex.<\/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\/btz907","type":"journal-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T07:11:10Z","timestamp":1575011470000},"page":"2291-2292","source":"Crossref","is-referenced-by-count":14,"title":["schex avoids overplotting for large single-cell RNA-sequencing datasets"],"prefix":"10.1093","volume":"36","author":[{"given":"Saskia","family":"Freytag","sequence":"first","affiliation":[{"name":"Molecular Medicine, Harry Perkins Institute of Medical Research , Perth, 6009, WA, Australia"}]},{"given":"Ryan","family":"Lister","sequence":"additional","affiliation":[{"name":"Molecular Medicine, Harry Perkins Institute of Medical Research , Perth, 6009, WA, Australia"},{"name":"Australian Research Council Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia , Perth, 6009, WA, Australia\u00a0"}]}],"member":"286","published-online":{"date-parts":[[2019,12,3]]},"reference":[{"key":"2023062300073122900_btz907-B1","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1038\/nbt.4096","article-title":"Integrating single-cell transcriptomic data across different conditions, technologies, and species","volume":"36","author":"Butler","year":"2018","journal-title":"Nat. Biotechnol"},{"key":"2023062300073122900_btz907-B3","author":"Carr","year":"1990"},{"key":"2023062300073122900_btz907-B4","first-page":"424","article-title":"Scatterplot matrix techniques for large n","volume":"82","author":"Carr","year":"1987","journal-title":"J. Am. Stat. Assoc"},{"key":"2023062300073122900_btz907-B2","author":"Carr D. et al. (2011) hexbin: Hexagonal binning routines. R package version, 1260."},{"key":"2023062300073122900_btz907-B5","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1186\/s13073-017-0467-4","article-title":"A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications","volume":"9","author":"Haque","year":"2017","journal-title":"Genome Med"},{"key":"2023062300073122900_btz907-B10","author":"Hijmans"},{"key":"2023062300073122900_btz907-B6","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1002\/cyto.a.20396","article-title":"Data quality assessment of ungated flow cytometry data in high throughput experiments","volume":"71","author":"Le Meur","year":"2007","journal-title":"Cytometry A"},{"key":"2023062300073122900_btz907-B7","article-title":"SingleCellExperiment: S4 classes for single cell data","volume":"1","author":"Lun","year":"2018","journal-title":"R Package Version"},{"key":"2023062300073122900_btz907-B8","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1038\/s41576-019-0093-7","article-title":"Integrative single-cell analysis","volume":"20","author":"Stuart","year":"2019","journal-title":"Nat. Rev. Genet."},{"key":"2023062300073122900_btz907-B9","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1038\/nprot.2017.149","article-title":"Exponential scaling of single-cell RNA-seq in the past decade","volume":"13","author":"Svensson","year":"2018","journal-title":"Nat. Protoc"},{"key":"2023062300073122900_btz907-B11","doi-asserted-by":"crossref","first-page":"e1006245","DOI":"10.1371\/journal.pcbi.1006245","article-title":"Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database","volume":"14","author":"Zappia","year":"2018","journal-title":"PLoS Comput. Biol"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/btz907\/31570578\/btz907.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/36\/7\/2291\/50670458\/bioinformatics_36_7_2291.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/36\/7\/2291\/50670458\/bioinformatics_36_7_2291.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T23:00:28Z","timestamp":1687474828000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/36\/7\/2291\/5651017"}},"subtitle":[],"editor":[{"given":"Peter","family":"Robinson","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,12,3]]},"references-count":11,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2020,4,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btz907","relation":{"has-review":[{"id-type":"doi","id":"10.3410\/f.737027630.793568621","asserted-by":"object"}]},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2020,4,1]]},"published":{"date-parts":[[2019,12,3]]}}}