Author

Raphael Gottardo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Andrew McDavidiD· 2 shared Greg FinakiD· 2 shared Adam BurgeneriD· 1 shared Alex K Shalek· 1 shared Alice Wang· 1 shared Chloe K Slichter· 1 shared Craig Hoesley· 1 shared David R Friend· 1 shared

Activity by Year

2014-2015 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Andrew McDavidORCID

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Author profile →

3 papers

Recent·Most cited

MAST: A flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA-seq data.

Greg Finak, Andrew McDavid, Masanao Yajima, Jingyuan Deng, Vivian Gersuk, Alex K Shalek, Chloe K Slichter, Hannah W Miller, M Julianna McElrath, Martin Prlic, Peter Linsley, Raphael Gottardo

The paper introduces a statistical framework to analyze single-cell RNA-seq data by modeling bimodality and characterizing transcriptional changes and heterogeneity.

bioRxiv · Jun 15, 2015Bioinformatics

Mucosal effects of tenofovir 1% gel

Florian Hladik, Adam Burgener, Lamar Ballweber, Raphael Gottardo, Slim Fourati, James Y Dai, Mark J Cameron, Lucia Vojtech, Johanna Strobl, Sean M Hughes, Craig Hoesley, Philip Andrew, Sherri Johnson, Jeanna Piper, David R Friend, , Ian McGowan

This study evaluates the mucosal effects of tenofovir 1% gel, finding broad biological impacts on rectal and vaginal tissues, including anti-inflammatory suppression and mitochondrial dysfunction.

eLife · Feb 3, 2015Peer-reviewedMicrobiology

Modeling bi-modality improves characterization of cell cycle on gene expression in single cells

Lucas Dennis, Andrew McDavid, Patrick Danaher, Greg Finak, Michael Krouse, Alice Wang, Philippa Webster, Joseph Beechem, Raphael Gottardo

The paper models bi-modality in single-cell gene expression to improve characterization of cell cycle effects and finds the cell cycle explains 5%-17% of expression variability.

PLoS Computational Biology · Jul 17, 2014Peer-reviewedBioinformatics