Author

Zach D. Burkett

Bio-Rad (United States)ORCID 0000-0002-5153-485XUnclaimed 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:cell type annotation· 2 Organism:human· 2 Assay:scATAC-seq· 2 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Andrew S. Kohlway· 2 shared Caleb A. LareauiD· 2 shared Fabiana M. DuarteiD· 2 shared Jason Daniel BuenrostroiD· 2 shared Jennifer G. Chew· 2 shared Ronald LebofskyiD· 2 shared Vinay K. KarthaiD· 2 shared Andrew EarliD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersGenomics

Andrew S. Kohlway

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2 papers

Recent·Most cited

Functional Inference of Gene Regulation using Single-Cell Multi-Omics

Vinay K. Kartha, Fabiana M. Duarte, Yan Hu, Sai Ma, Jennifer G. Chew, Caleb A. Lareau, Andrew Earl, Zach D. Burkett, Andrew S. Kohlway, Ronald Lebofsky, Jason Daniel Buenrostro

This paper develops FigR, a framework to integrate scATAC-seq and scRNA-seq data to infer gene regulatory networks and identify TF regulators in immune responses.

Cell Genomics · Aug 4, 2022Peer-reviewedGenomics

Droplet-based combinatorial indexing for massive scale single-cell epigenomics

Caleb A. Lareau, Fabiana M. Duarte, Jennifer G. Chew, Vinay K. Kartha, Zach D. Burkett, Andrew S. Kohlway, Dmitry Pokholok, Martin J. Aryee, Frank J. Steemers, Ronald Lebofsky, Jason Daniel Buenrostro

The paper introduces a droplet-based combinatorial indexing method for high-throughput scATAC-seq, enabling large-scale single-cell chromatin accessibility profiling in mouse and human cells.

bioRxiv · Apr 18, 2019 · PreprintGenomics