Author

Alyssa Pyclik

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 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Huanying Gary Ge· 2 shared John R. LydeardiD· 2 shared Matthew H. UngiD· 2 shared Tirtha ChakrabortyiD· 2 shared Abhinav DhalliD· 1 shared Gabriella Angelini· 1 shared Julia Etchin· 1 shared Juliana M. Xavier-FerrucioiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenetics

Huanying Gary Ge

Mutual co-authors in cluster

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2 papers

Recent·Most cited

A Human Genetics Framework for De-risking Gene Editing Targets for Hematopoietic Cell and Gene Therapy

Abhinav Dhall, Alyssa Pyclik, Matthew H. Ung, Julia Etchin, Yonina Keschner, Huanying Gary Ge, Tirtha Chakraborty, John R. Lydeard

The paper develops a proteogenomic framework to identify dispensable genes for safer gene editing in hematopoietic therapies, identifying 237 candidates including LY75.

bioRxiv · Dec 17, 2025 · PreprintGenetics

A resource and computational approach for quantifying gene editing allelism at single-cell resolution

Matthew H. Ung, Gabriella Angelini, Ruijia Wang, Alyssa Pyclik, John R. Lydeard, Juliana M. Xavier-Ferrucio, Michelle I. Lin, Tirtha Chakraborty, Huanying Gary Ge

The paper constructs a single-cell DNA sequencing atlas and introduces GUMM, a computational workflow, to accurately infer gene editing allelism despite technical artifacts.

bioRxiv · May 22, 2025 · PreprintBioinformatics