Author

Jennifer Chien

Chan Zuckerberg Biohub San FranciscoORCID 0000-0003-4389-9821Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cell Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 3 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Brian D. AevermanniD· 2 shared Corinn SmalliD· 2 shared Erica M. RutherfordiD· 2 shared J. Michael CherryiD· 2 shared Jason A. HiltoniD· 2 shared Jennifer L. ZamanianiD· 2 shared Jim ChafferiD· 2 shared A ArnesoniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Brian D. AevermannORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GeneticsbioRxivPreprintAug 4, 2026

A collaborative submission model for building high-quality data resources at scale through partnership: lessons from single-cell genomics

Jason A. Hilton, Jim Chaffer, Jenny Chien…·Teri E. Klein

The paper describes a collaborative submission model for building high-quality single-cell genomics data resources, emphasizing partnership between contributors and curators to improve metadata quality and resource scalability.

1 citation

scRNA-seqexperimental assay

𝕏 PostBluesky

Cell BiologyNucleic Acids ResearchPeer-reviewedNov 1, 2024

CZ CELLxGENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data

CZI Cell Science Program, Shibla Abdulla, Brian D. Aevermann…·Ambrose Carr

CZ CELLxGENE Discover provides a platform for scalable exploration and analysis of aggregated single-cell transcriptomic data across multiple studies.

706 citationstop 1%

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedDec 1, 2020

ConsHMM Atlas: conservation state annotations for major genomes and human genetic variation

A Arneson, Brooke Felsheim, Jennifer Chien, Jason Ernst

The paper extends the ConsHMM method to annotate conservation states for multiple genomes and human genetic variation, providing a web interface for visualization.

5 citations

humanmultiple species

𝕏 PostBluesky