Author

Monica B. Arniella

Broad InstituteORCID 0000-0002-7286-0590Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Organism:virus· 1

Frequent Co-Authors

Arvind RaviiD· 2 shared Chip StewartiD· 2 shared Gad A. GetziD· 2 shared Ignaty LeshchineriD· 2 shared Jaegil KimiD· 2 shared Nir HacoheniD· 2 shared Samuel S. FreemaniD· 2 shared Aaron Timothy GriffiniD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersGenomics

Arvind RaviORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Error correction of SARS-CoV-2 genomic sequences using a phylogenetic prior

Monica B. Arniella, Lenore Pipes, Rasmus Nielsen

This paper presents a statistical framework for correcting SARS-CoV-2 genomic sequences using phylogenetic priors, improving call rate and accuracy in challenging regions.

bioRxiv · Oct 9, 2026 · PreprintBioinformatics

Integrative Analysis of Checkpoint Blockade Response in Advanced Non-Small Cell Lung Cancer

Arvind Ravi, Justin F. Gainor, Monica B. Arniella, Mark Holton, Samuel S. Freeman, Chip Stewart, Ignaty Leshchiner, Jaegil Kim, Yo Akiyama, Aaron Timothy Griffin, Natalie I. Vokes, Mustafa Sakhi, Vashine Kamesan, Hira A. Rizvi, Biagio Ricciuti, , Matthew David Hellmann

This study identifies molecular and immune features associated with response to anti-PD-(L)1 therapy in NSCLC using a cohort of 393 patients.

bioRxiv · Mar 21, 2022 · PreprintGenomics

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

Samuel S. Freeman, Moshe Sade-Feldman, Jaegil Kim, Chip Stewart, Anna L. K. Gonye, Arvind Ravi, Monica B. Arniella, Irena Gushterova, Thomas James LaSalle, Emily M. Blaum, Keren Yizhak, Dennie Tompers Frederick, Tatyana Y. Sharova, Ignaty Leshchiner, Liudmila Elagina, , Nir Hacohen

The paper develops DNA- and RNA-based models combining immune and tumor features to predict outcomes of checkpoint inhibition in melanoma.

Cell Reports Medicine · Feb 1, 2022Peer-reviewedGenomics