Author

Sagrika Chugh

The University of MelbourneORCID 0000-0002-8050-5214Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:eQTL / molecular QTL mapping· 1 Organism:human· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Davis James McCarthyiD· 2 shared Brittany K. Matlock· 1 shared Carla L. Calvi· 1 shared Chase J. TayloriD· 1 shared Christina Brady Del AzodiiD· 1 shared Ciara M. ShaveriD· 1 shared David K. Flaherty· 1 shared Heejung ShimiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Davis James McCarthyORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

simPIC: flexible simulation of single-cell ATAC-seq paired-insertion counts from individuals to populations

Sagrika Chugh, Heejung Shim, Davis James McCarthy

simPIC simulates single-cell ATAC-seq count data across individuals and populations to enable controlled evaluation of chromatin accessibility QTL mapping methods.

Genome biology · Jul 29, 2026Peer-reviewedBioinformatics

Cell type-specific and disease-associated eQTL in the human lung

Heini M. Natri, Christina Brady Del Azodi, Lance M. Peter, Chase J. Taylor, Sagrika Chugh, Robert Kendle, Mei-I Chung, David K. Flaherty, Brittany K. Matlock, Carla L. Calvi, Timothy S. Blackwell, Lorraine B. Ware, Matthew D. Bacchetta, Rajat Walia, Ciara M. Shaver, , Nicholas E. Banovich

The paper identifies cell-type-specific and disease-associated eQTL in the human lung using single-cell RNA-sequencing data from PF and unaffected donors.

bioRxiv · Mar 17, 2023 · PreprintGenomics