Author

S. Shipman

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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Bioengineering· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

S. C. Lopez· 2 shared A. G. Khan· 1 shared H. Goodarzi· 1 shared K. D. Crawford· 1 shared K. Zhang· 1 shared Y. Lee· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioengineering

S. C. Lopez

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2 papers

Recent·Most cited

High Throughput Variant Libraries and Machine Learning Yield Design Rules for Retron Gene Editors

K. D. Crawford, A. G. Khan, S. C. Lopez, H. Goodarzi, S. Shipman

The paper uses high-throughput variant libraries and machine learning to identify design rules for improving retron gene editors in both yeast and human genome editing.

bioRxiv · Jul 8, 2024Bioengineering

SspA is a transcriptional regulator of CRISPR adaptation in E. coli

S. C. Lopez, Y. Lee, K. Zhang, S. Shipman

This study identifies SspA as a transcriptional regulator of CRISPR adaptation in E. coli using a CRISPRi-based screen and proposes a model of independent cellular control of adaptation and interference by SspA.

bioRxiv · May 24, 2024 · PreprintMicrobiology