Author

Ruchi Joshi

Stanford MedicineORCID 0000-0002-3425-8187Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Ruchi Joshi2 papers · Homi Bhabha National Institute

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Euan Angus AshleyiD· 3 shared Matthew Thomas WheeleriD· 3 shared Alexander G. IoannidisiD· 2 shared Amy L. KistleriD· 2 shared Anna KirillovaiD· 2 shared Archana Natarajan RajaiD· 2 shared Benjamin A. PinskyiD· 2 shared Carlos D. BustamanteiD· 2 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Euan Angus AshleyORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedAug 30, 2022

Deconvoluting complex correlates of COVID19 severity with local ancestry inference and viral phylodynamics: Results of a multiomic pandemic tracking strategy

Victoria Nicole Parikh, Alexander G. Ioannidis, David Jimenez‐Morales…·Euan Angus Ashley

The paper integrates multi-omic data to identify genetic and microbiome factors associated with severe COVID-19, independent of ancestry and social factors.

11 citations

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintJul 27, 2020

High-throughput SARS-CoV-2 and host genome sequencing from single nasopharyngeal swabs

John E. Gorzynski, Hannah N. De Jong, David Amar…·Victoria Nicole Parikh

This paper develops a high-throughput method to generate host and pathogen genomic data from single nasopharyngeal swabs of COVID-19 patients.

8 citations

humanwhole-genome sequencing

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GenomicsbioRxivPreprintSep 4, 2018

Identification of rare-disease genes in diverse undiagnosed cases using whole blood transcriptome sequencing and large control cohorts

Laure Frésard, Craig Smail, Kevin S. Smith…·Stephen B. Montgomery

This study evaluates the use of whole blood transcriptome sequencing for diagnosing rare diseases, finding an 8.5% diagnostic rate across 56 undiagnosed cases.

10 citations

humanwhole-exome sequencing

𝕏 PostBluesky