Author

Mathew Barber

Regeneron (United States)ORCID 0000-0002-6217-217XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:CRISPR screen· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Andrea L. Halweg‐EdwardsiD· 1 shared Andrew D. GarstiD· 1 shared Andrey ZiyatdinoviD· 1 shared Anthony MarckettaiD· 1 shared Aris BarasiD· 1 shared Boris BoutkoviD· 1 shared Bryan A. Leland· 1 shared Chad D. Sanada· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenomics

Andrea L. Halweg‐EdwardsORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintSep 23, 2021

A framework for evaluating edited cell libraries created by massively parallel genome engineering

Simon E. Cawley, Eric Abbate, Christopher G. Abraham…·Michael S. Graige

The paper introduces a framework for evaluating edited cell libraries generated by genome engineering, defining metrics and connecting analysis to phenotyping approaches.

2 citations

CRISPR screenstatistical model

𝕏 PostBluesky

GeneticsNature GeneticsPeer-reviewedMay 20, 2021

Computationally efficient whole genome regression for quantitative and binary traits

Joelle S. Mbatchou, Leland Barnard, Joshua Backman…·Jonathan Marchini

The paper introduces REGENIE, a fast whole genome regression method for quantitative and binary traits, showing computational efficiency and accuracy on UK Biobank data.

1,501 citationstop 1%

humanwhole-genome sequencing

𝕏 PostBluesky