Author

Anushka Rajesh

University of Southern CaliforniaORCID 0000-0002-7729-0865Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:host-pathogen & immune response· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

Aditya Prasad SarkariD· 1 shared Allan Henrique Depieri CataneoiD· 1 shared Amalio TelentiiD· 1 shared Ana Luiza Pamplona MosimanniD· 1 shared Andreas S. PuschnikiD· 1 shared Antonis AthanasiadisiD· 1 shared Anushka YadaviD· 1 shared Catherine A. FreijeiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Aditya Prasad SarkarORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Orthogonal CRISPR screens and human liver chimeric mice identify hepatitis B virus host factors

Catherine A. Freije, Georgios Dangas, Antonis Athanasiadis, Evgenia Moschogianni, Madeleine K Sanders, Allan Henrique Depieri Cataneo, Chloe K. Boehm, Maria Bousali, Dar-Yin Li, Sooyoung Lee, Guillaume Cornelis, Gary Lo, Leah B. Soriaga, Amalio Telenti, Julia di Iulio, , Eleftherios Michailidis

The paper identifies HBV host factors using CRISPR screens and human liver chimeric mice, finding that EXOC1 is antiviral and ZCCHC14 is proviral.

bioRxiv · Jul 24, 2026 · PreprintMicrobiology

The systematic assessment of completeness of public metadata accompanying omics studies in the Gene Expression Omnibus

Yu-Ning Huang, Pooja Vinod Jaiswal, Anushka Rajesh, Anushka Yadav, Dottie Yu, Fangyun Liu, Grace Scheg, Emma Shih, Grigore Boldirev, Irina Nakashidze, Aditya Prasad Sarkar, Jay Himanshu Mehta, Ke Wang, Khooshbu Kantibhai Patel, Mustafa Ali Baig Mirza, , Serghei Mangul

This study assesses metadata completeness in public omics studies, finding that most important phenotypes are often omitted, with only 11.5% of studies fully sharing all phenotypes.

bioRxiv · Nov 22, 2021 · PreprintBioinformatics