Author

Joseph Hiatt

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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Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexander MarsoniD· 1 shared Amirali Aghazadeh· 1 shared Andrew P. MayiD· 1 shared David Tse· 1 shared James ZouiD· 1 shared Judd F. HultquistiD· 1 shared Nevan Krogan· 1 shared Ryan T. Leenay· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperCell Biology

Alexander MarsonORCID

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1 paper

Recent·Most cited

Systematic characterization of genome editing in primary T cells reveals proximal genomic insertions and enables machine learning prediction of CRISPR-Cas9 DNA repair outcomes

Ryan T. Leenay, Amirali Aghazadeh, Joseph Hiatt, David Tse, Judd F. Hultquist, Nevan Krogan, Zhenqin Wu, Alexander Marson, Andrew P. May, James Zou

This study systematically characterizes genome editing in primary T cells, identifies proximal genomic insertions, and develops a machine learning model to predict CRISPR-Cas9 DNA repair outcomes.

bioRxiv · Aug 31, 2018 · PreprintCell Biology