Author

Cooper Roddey

Illumina (United States)ORCID 0009-0002-4031-3418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:machine learning (classical)· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Assay:long-read sequencing· 1

Frequent Co-Authors

Fritz Joachim SedlazeckiD· 2 shared Rami MehioiD· 2 shared Severine CatreuxiD· 2 shared Adam C. EnglishiD· 1 shared Adrián Muñoz‐BarreraiD· 1 shared Alexey Dolgoborodov· 1 shared Alexey KolesnikoviD· 1 shared Amit JainiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenomics

Fritz Joachim SedlazeckORCID

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2 papers

Recent·Most cited

Comprehensive and accurate genome analysis at scale using DRAGEN accelerated algorithms

Sairam Behera, Severine Catreux, Massimiliano Rossi, Sean Truong, Zhuoyi Huang, Michael Ruehle, Arun Visvanath, Gavin Parnaby, Cooper Roddey, Vitor Onuchic, Daniel Cameron, Adam C. English, Shyamal S. Mehtalia, James Han, Rami Mehio, Fritz Joachim Sedlazeck

DRAGEN provides fast and accurate genome analysis across 3,202 genomes, outperforming existing methods in variant detection speed and accuracy for various types including SNV, indel, STR, SV, and CNV.

bioRxiv · Jan 2, 2024 · PreprintGenomics

precisionFDA Truth Challenge V2: Calling variants from short- and long-reads in difficult-to-map regions

Nathan D. Olson, Justin Wagner, Jennifer McDaniel, Sarah H. Stephens, Samuel T. Westreich, Anish G. Prasanna, Elaine Johanson, Emily S. Boja, Ezekiel J. Maier, Omar Serang, David Jáspez, Jose Miguel Lorenzo-Salazar, Adrián Muñoz‐Barrera, Luis A. Rubio‐Rodríguez, Carlos Flores, , Justin M. Zook

The paper evaluates variant calling in difficult genomic regions using short- and long-read sequencing, showing improved performance with new methods and multi-technology approaches.

Cell Genomics · Apr 27, 2022Peer-reviewedBioinformatics