anndataR improves interoperability between R and Python in single-cell transcriptomics.

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Bibliographic Details
Title: anndataR improves interoperability between R and Python in single-cell transcriptomics.
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
Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btag288