Author

Ariel Royall

10X Genomics (United States)

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· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Adam J. LoweiD· 1 shared Adrian N. Fehr· 1 shared Álvaro Martínez BarrioiD· 1 shared Andrew D.F. PriceiD· 1 shared Andrew Wei Xu· 1 shared Anoushka JoglekariD· 1 shared Bill K. Lin· 1 shared Brendan D. Galvin· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Adam J. LoweORCID

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Author profile →

2 papers

Recent·Most cited

Comparing 10x Genomics single-cell 3' and 5' assay in short-and long-read sequencing

Justine Hsu, Julien Jarroux, Anoushka Joglekar, Juan P. Romero, Corey M. Nemec, Daniel Reyes, Ariel Royall, Yi He, Natan Belchikov, Kirby T. Leo, Sarah E. B. Taylor, Hagen Tilgner

This study compares 10x Genomics 3' and 5' assays using short and long reads, finding differences in exonic/intronic capture and transcript completeness.

bioRxiv · Oct 27, 2022 · PreprintBioinformatics

Resolving the Full Spectrum of Human Genome Variation using Linked-Reads

Patrick Marks, Sarah Garcia, Álvaro Martínez Barrio, Kamila Belhocine, Jorge Bernate, Rajiv Bharadwaj, Keith P. Bjornson, Claudia Catalanotti, Josh Delaney, Adrian N. Fehr, Ian T. Fiddes, Brendan D. Galvin, Haynes Heaton, Jill Herschleb, Christopher M. Hindson, , Deanna M. Church

This paper introduces Linked-Reads as a method to comprehensively analyze genome variation, showing it can detect both small and large variants and reconstruct haplotypes more effectively than short-read sequencing.

Genome Research · Apr 1, 2019Peer-reviewedGenomics