Author

Sandra Gawlitt

Helmholtz Centre for Infection Research

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Assay:CRISPR screen· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:mixed model· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chase L. BeiseliD· 2 shared Erinç MerdivaniD· 1 shared Joshua P. M. NewsoniD· 1 shared Lars BarquistiD· 1 shared Lisa Barros de Andrade e SousaiD· 1 shared Marie PiraudiD· 1 shared Roland R. RegoesiD· 1 shared Sneha SundariD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMicrobiology

Chase L. BeiselORCID

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2 papers

Recent·Most cited

Dissecting multi-gene virulence phenotypes with base editing requires consideration of target-independent mutagenesis

Joshua P. M. Newson, Sandra Gawlitt, Sneha Sundar, Roland R. Regoes, Chase L. Beisel, Wolf‐Dietrich Hardt

The paper develops a base-editing pipeline for multi-gene knockouts in Salmonella Typhimurium, showing reduced virulence but also off-target mutations affecting fitness.

bioRxiv · Feb 12, 2026 · PreprintMicrobiology

Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect modeling and data integration

Yanying Yu, Sandra Gawlitt, Lisa Barros de Andrade e Sousa, Erinç Merdivan, Marie Piraud, Chase L. Beisel, Lars Barquist

The paper develops a mixed-effect random forest model to predict CRISPRi guide efficiency using data from depletion screens and gene-specific features, outperforming existing methods.

bioRxiv · May 27, 2022 · PreprintBioinformatics