Author

Suvarna Nadendla

University of Maryland, BaltimoreORCID 0000-0003-3643-281XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Suvarna Nadendla1 paper

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Organism:human· 2 Organism:mouse· 2 Organism:non-human primate· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Michelle Gwinn GiglioiD· 3 shared Anup MahurkariD· 2 shared Heather H. CreasyiD· 2 shared Owen R. WhiteiD· 2 shared Robert CarteriD· 2 shared Victor FelixiD· 2 shared Alex WaldropiD· 1 shared Alexander J. RopelewskiiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersGenomics

Michelle Gwinn GiglioORCID

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintMay 4, 2026

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

Patrick L. Ray, Jeremy A. Miller, Dorota Jarecka…·Carol L. Thompson

This paper introduces a standards framework for integrating single-cell and spatial omics data into brain cell atlases, enabling interoperable and reusable knowledge-ready resources.

DOI 10.64898/2026.04.30.722039

𝕏 PostBluesky

GenomicsNucleic Acids ResearchPeer-reviewedNov 1, 2022

The Neuroscience Multi-Omic Archive: A BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain

Seth A. Ament, Ricky S. Adkins, Robert Carter…·Owen R. White

The paper describes the Neuroscience Multi-Omic Archive, a repository for single-cell transcriptomic and epigenomic data from mammalian brains, providing tools for data access and analysis.

47 citationstop 4%

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BioinformaticsGigaSciencePeer-reviewedJan 1, 2022

Making Common Fund data more Findable: Catalyzing a Data Ecosystem

Amanda L. Charbonneau, Arthur Brady, Karl Czajkowski…·Owen R. White

The paper describes the development of a metadata federation system for NIH Common Fund data to improve discoverability without data movement.

25 citations

statistical modeldatabase / resource

𝕏 PostBluesky