Author

Tyler S. Klann

Duke University

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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Assay:CRISPR screen· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alejandro BarreraiD· 2 shared Charles A. GersbachiD· 2 shared Gregory E. CrawfordiD· 2 shared Julien BryoisiD· 2 shared Patrick F. SullivaniD· 2 shared Adarsh R. EttyreddyiD· 1 shared Andrew S. AlleniD· 1 shared Lexi R. BoundsiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Alejandro BarreraORCID

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2 papers

Recent·Most cited

Machine learning methods for predicting guide RNA effects in CRISPR epigenome editing experiments

Wancen Mu, Tianyou Luo, Alejandro Barrera, Lexi R. Bounds, Tyler S. Klann, Maria A. ter Weele, Julien Bryois, Gregory E. Crawford, Patrick F. Sullivan, Charles A. Gersbach, Michael I. Love, Yun Li

This paper introduces launch-dCas9, a machine learning framework to predict guide RNA effects in CRISPR epigenome editing, showing high accuracy and improved gRNA selection.

bioRxiv · Apr 18, 2024 · PreprintBioinformatics

Genome-wide annotation of gene regulatory elements linked to cell fitness

Maria ter Weele, Tyler S. Klann, Alejandro Barrera, Adarsh R. Ettyreddy, Siyan Liu, Ryan A. Rickels, Julien Bryois, Simon W. Jiang, Shaunak Sanjay Adkar, Nahid Iglesias, Patrick F. Sullivan, Timothy E. Reddy, Andrew S. Allen, Gregory E. Crawford, Charles A. Gersbach

The paper screens non-coding regulatory elements in human cells to identify those affecting cell fitness and establishes connections between regulatory elements and target genes.

bioRxiv · Mar 8, 2021 · PreprintGenomics