Author

Poorvi Rao

University of California, San Francisco

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Research Focus:database / resource· 2 Organism:human· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Angela Oliveira PiscoiD· 2 shared Jonah Silverman· 2 shared Joshua Barnett· 2 shared Liya WangiD· 2 shared Noori SotudehiD· 2 shared Aaron M. KershneriD· 1 shared Aditi SwarupiD· 1 shared Ahmad SalehiiD· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Angela Oliveira PiscoORCID

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Author profile →

4 papers

Recent·Most cited

AtlasXplore: a web platform for visualizing and sharing spatial epigenome data

Joshua Barnett, Noori Sotudeh, Poorvi Rao, Jonah Silverman, Tamara Jafar, Liya Wang

AtlasXplore provides a web platform for visualizing and sharing spatial epigenome data, enabling interactive exploration without requiring advanced computational skills.

Bioinformatics · Jul 20, 2023Peer-reviewedBioinformatics

Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data

Martin Jinye Zhang, Kangcheng Hou, Kushal K. Dey, Saori Sakaue, Karthik A. Jagadeesh, Kathryn Weinand, Aris Taychameekiatchai, Poorvi Rao, Angela Oliveira Pisco, James Zou, Bruce Wang, Michael J. Gandal, Soumya Raychaudhuri, Bogdan Paşaniuc, Alkes L. Price

This paper introduces scDRS, a method to identify disease-associated cells in scRNA-seq data using polygenic risk scores, finding novel subpopulations linked to diseases like IBD and schizophrenia.

Nature Genetics · Sep 1, 2022Peer-reviewedBioinformatics

The Tabula Sapiens: a multiple organ single cell transcriptomic atlas of humans

Robert C. Jones, Jim Karkanias, Mark A. Krasnow, Angela Oliveira Pisco, Stephen R. Quake, Julia Salzman, Nir Yosef, Bryan Bulthaup, Phillip Brown, William Harper, Marisa Hemenez, Ravikumar Ponnusamy, Ahmad Salehi, Bhavani A. Sanagavarapu, Eileen Spallino, , Andrea R. Yung

Nearly 500,000 cells from 24 human tissues, many from one donor, characterize over 400 cell types and enable within-donor study of T-cell clones, B-cell mutation rates and splicing.

Science · May 12, 2022Peer-reviewedCell Biology

AtlasXbrowser enables spatial multi-omics data analysis through the precise determination of the region of interest

Joshua Barnett, Jonah Silverman, Molly Wetzel, Poorvi Rao, Noori Sotudeh, Liya Wang

The paper introduces AtlasXbrowser, a tool for processing DBiT image data to extract spatial information for integration with sequencing data.

bioRxiv · May 11, 2022 · PreprintBioinformatics