Author

Shashwat Deepali Nagar

Georgia Institute of TechnologyORCID 0000-0001-7393-7054Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 4 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:variant calling· 2 Research Focus:variant effect prediction· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

I. King JordaniD· 4 shared Leonardo Mariño‐RamíreziD· 2 shared Shivam SharmaiD· 2 shared Adalberto SáncheziD· 1 shared Alex Loiacono· 1 shared Alexander Quarshie· 1 shared Ali Nouina· 1 shared Álvaro AlonsoiD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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4 shared papersBioinformatics

I. King JordanORCID

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4 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedMay 3, 2025

Genetic ancestry and population structure in the All of Us Research Program cohort

Shivam Sharma, Shashwat Deepali Nagar, Priscilla Igho Pemu…·I. King Jordan

The paper analyzes genetic ancestry and population structure in the All of Us Research Program cohort, revealing diverse ancestry patterns and population structure.

19 citationstop 1%

humanwhole-genome sequencing

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GenomicsbioRxivPreprintApr 28, 2025

The Consortium for Genomic Diversity, Ancestry, and Health in Colombia (CODIGO): building local capacity in genomics, bioinformatics, and precision medicine

Leonardo Mariño‐Ramírez, Shivam Sharma, James Matthew Hamilton…·Augusto Valderrama-Aguirre

CODIGO releases genomic data from 1,441 Colombian samples, revealing ancestry clusters and genetic associations with health traits and pharmacogenomics.

3 citations

humanwhole-genome sequencing

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GenomicsBMC BiologyPeer-reviewedOct 13, 2020

Population structure and pharmacogenomic risk stratification in the United States

Shashwat Deepali Nagar, Andrew B. Conley, I. King Jordan

The paper assesses the utility of genetic ancestry for pharmacogenomic risk stratification compared to self-identified race/ethnicity in a U.S. cohort.

23 citations

humanwhole-genome sequencing

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BioinformaticsNucleic Acids ResearchPeer-reviewedJul 1, 2020

STing: accurate and ultrafast genomic profiling with exact sequence matches

Hector F. Espitia-Navarro, Aroon T. Chande, Shashwat Deepali Nagar…·Lavanya Rishishwar

STing provides an accurate and ultrafast genomic profiling tool for microbial pathogens using exact sequence matches, outperforming existing methods in speed, accuracy, and ease of use.

7 citations

whole-genome sequencingexperimental assay

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