A layered standards framework for integrating single-cell and spatial omics data into brain cell atlases.

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Title: A layered standards framework for integrating single-cell and spatial omics data into brain cell atlases.
Authors: Ray PL; Allen Institute, Brain Science, Seattle, WA., Miller JA; Allen Institute, Brain Science, Seattle, WA., Jarecka D; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA., Smith KA; Allen Institute, Brain Science, Seattle, WA., Baker PM; Allen Institute, Brain Science, Seattle, WA., Ng L; Allen Institute, Brain Science, Seattle, WA., Martone ME; Department of Neuroscience, University of California at San Diego, La Jolla, CA., Trivedi P; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA., Abeysinghe R; The University of Texas Health Science Center at Houston, Houston, TX., Anderson L; Broad Institute of MIT and Harvard, Boston, MA., Bandrowski AE; Department of Neuroscience, University of California at San Diego, La Jolla, CA., Vieth E; Department of Neuroscience, University of California at San Diego, La Jolla, CA., Bhandiwad AA; Allen Institute, Brain Science, Seattle, WA., Chhetri TR; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA., Cui L; The University of Texas Health Science Center at Houston, Houston, TX., Giglio M; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD., Goldy J; Allen Institute, Brain Science, Seattle, WA., Hong N; Department of Biomedical Informatics and Data Science, Yale University, New Haven, CT., Huang H; University of Pennsylvania, Philadelphia, PA., Huang Y; The University of Texas Health Science Center at Houston, Houston, TX., Hussain Y; Allen Institute, Brain Science, Seattle, WA., Johansen NJ; Allen Institute, Brain Science, Seattle, WA., Kenney M; Pittsburgh Supercomputing Center, Pittsburgh, PA., Kruse L; Allen Institute, Brain Science, Seattle, WA., Li X; The University of Texas Health Science Center at Houston, Houston, TX., Meldrim JC; Broad Institute of MIT and Harvard, Boston, MA., Mollenkopf T; Allen Institute, Brain Science, Seattle, WA., Nadendla S; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD., Osumi-Sutherland D; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK., Sanchez R; Allen Institute, Brain Science, Seattle, WA., Scheuermann RH; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD., Tao S; The University of Texas Health Science Center at Houston, Houston, TX., Vanderburg CR; Broad Institute of MIT and Harvard, Boston, MA., Yang Y; MD Anderson Cancer Center, Houston, TX., Ropelewski A; Pittsburgh Supercomputing Center, Pittsburgh, PA., Mufti S; Allen Institute, Brain Science, Seattle, WA., Lein ES; Allen Institute, Brain Science, Seattle, WA., Xu H; Department of Biomedical Informatics and Data Science, Yale University, New Haven, CT., Zheng WJ; The University of Texas Health Science Center at Houston, Houston, TX., Ghosh SS; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA., White O; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD., Hawrylycz M; Allen Institute, Brain Science, Seattle, WA., Zhang GQ; The University of Texas Health Science Center at Houston, Houston, TX., Thompson C; Allen Institute, Brain Science, Seattle, WA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 May 04. Date of Electronic Publication: 2026 May 04.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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