Author

Nicolas B. Strauli

University of California, San FranciscoORCID 0000-0001-8575-006XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Ryan D. HernandeziD· 3 shared Agata Wesolowska‐AnderseniD· 1 shared Andrew D. SmithiD· 1 shared Celeste S. EngiD· 1 shared Cydney L. Rios· 1 shared Diane L. BarberiD· 1 shared Diego Garrido RuiziD· 1 shared Eleazar EskiniD· 1 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenomics

Ryan D. HernandezORCID

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Author profile →

3 papers

Recent·Most cited

Genomic characterization of serial-passaged Ebola virus in a boa constrictor cell line

Greg Fedewa, Sheli R. Radoshitzky, Xiǎolì Chī, Lián Dŏng, Xiankun Zeng, Melissa L. Spear, Nicolas B. Strauli, Melinda Ng, Kartik Chandran, Mark D. Stenglein, Ryan D. Hernandez, Peter B. Jahrling, Jens H. Kuhn, Joseph L. DeRisi

This study shows Ebola virus can infect boa constrictor cells without causing cytopathic effect or requiring genomic adaptation, while Marburg virus cannot.

Virus Evolution · Jul 1, 2018Peer-reviewedGenomics

Comprehensive analysis of RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Serghei Mangul, Harry Taegyun Yang, Nicolas B. Strauli, Franziska Gruhl, Hagit T. Porath, Kevin Hsieh, Linus Chen, Timothy Daley, Stephanie A. Christenson, Agata Wesolowska‐Andersen, Roberto Spreafico, Cydney L. Rios, Celeste S. Eng, Andrew D. Smith, Ryan D. Hernandez, , Noah Zaitlen

This paper introduces ROP to identify the source of unmapped RNA-Seq reads across diverse tissues, showing it can account for 99.9% of 1 trillion reads and reveals immune and microbial correlations.

Genome biology · Feb 15, 2018Peer-reviewedGenomics

Prominent Features Of The Amino Acid Mutation Landscape In Cancer

Zachary A. Szpiech, Nicolas B. Strauli, Katharine A. White, Diego Garrido Ruiz, Matthew P. Jacobson, Diane L. Barber, Ryan D. Hernandez

The paper analyzes amino acid mutation patterns across 29 cancers, identifying six mutation signatures, five of which are validated using COSMIC data.

PLoS ONE · Aug 24, 2017Peer-reviewedBioinformatics