anndataR improves interoperability between R and Python in single-cell transcriptomics.
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| Title: | anndataR improves interoperability between R and Python in single-cell transcriptomics. |
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| Authors: | Deconinck L; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium., Zappia L; Data Intuitive, 9280 Lebbeke, Belgium., Cannoodt R; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.; Data Intuitive, 9280 Lebbeke, Belgium.; Edaro, 9070 Destelbergen, Belgium., Morgan M; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, NY 14263, United States., Virshup I; Institute of Computational Biology, Helmholtz Center Munich, D-85764 Neuherberg, Germany.; Chan Zuckerberg Initiative, Redwood City, CA 94083, United States., Sang-Aram C; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium., Bredikhin D; Department of Genetics, Stanford University, Stanford, CA 94305, United States.; scverse., Schilder B; Department of Brain Sciences, Faculty of Medicine, Imperial College London, W12 0NN London, United Kingdom., Seurinck R; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium., Saeys Y; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium. |
| Corporate Authors: | scverse core |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jun 01; Vol. 42 (6). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42108549 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: anndataR improves interoperability between R and Python in single-cell transcriptomics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Deconinck+L%22">Deconinck L</searchLink>; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.<br /><searchLink fieldCode="AU" term="%22Zappia+L%22">Zappia L</searchLink>; Data Intuitive, 9280 Lebbeke, Belgium.<br /><searchLink fieldCode="AU" term="%22Cannoodt+R%22">Cannoodt R</searchLink>; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.; Data Intuitive, 9280 Lebbeke, Belgium.; Edaro, 9070 Destelbergen, Belgium.<br /><searchLink fieldCode="AU" term="%22Morgan+M%22">Morgan M</searchLink>; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, NY 14263, United States.<br /><searchLink fieldCode="AU" term="%22Virshup+I%22">Virshup I</searchLink>; Institute of Computational Biology, Helmholtz Center Munich, D-85764 Neuherberg, Germany.; Chan Zuckerberg Initiative, Redwood City, CA 94083, United States.<br /><searchLink fieldCode="AU" term="%22Sang-Aram+C%22">Sang-Aram C</searchLink>; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.<br /><searchLink fieldCode="AU" term="%22Bredikhin+D%22">Bredikhin D</searchLink>; Department of Genetics, Stanford University, Stanford, CA 94305, United States.; scverse.<br /><searchLink fieldCode="AU" term="%22Schilder+B%22">Schilder B</searchLink>; Department of Brain Sciences, Faculty of Medicine, Imperial College London, W12 0NN London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Seurinck+R%22">Seurinck R</searchLink>; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.<br /><searchLink fieldCode="AU" term="%22Saeys+Y%22">Saeys Y</searchLink>; Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, 9000 Ghent, Belgium.; Department of Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22scverse+core%22">scverse core</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2026 Jun 01; Vol. 42 (6). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9808944 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1367-4811 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213674803%22">13674803 </searchLink><i>NLM ISO Abbreviation: </i>Bioinformatics <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42108549 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bioinformatics/btag288 Languages: – Code: eng Text: English Titles: – TitleFull: anndataR improves interoperability between R and Python in single-cell transcriptomics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Deconinck L – PersonEntity: Name: NameFull: Zappia L – PersonEntity: Name: NameFull: Cannoodt R – PersonEntity: Name: NameFull: Morgan M – PersonEntity: Name: NameFull: Virshup I – PersonEntity: Name: NameFull: Sang-Aram C – PersonEntity: Name: NameFull: Bredikhin D – PersonEntity: Name: NameFull: Schilder B – PersonEntity: Name: NameFull: Seurinck R – PersonEntity: Name: NameFull: Saeys Y IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Jun 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1367-4811 Numbering: – Type: volume Value: 42 – Type: issue Value: 6 Titles: – TitleFull: Bioinformatics (Oxford, England) Type: main |
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