Author

Jenny Lee

La Jolla Institute for Immunology

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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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Aaron M. MilleriD· 1 shared Aidan Coffey· 1 shared Alessandro SetteiD· 1 shared Andrey Nikolaevich ShkoporoviD· 1 shared Bjoern PetersiD· 1 shared Cecilia A. NoeckeriD· 1 shared Colin ButtimeriD· 1 shared Colin HilliD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Aaron M. MillerORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Eggerthella lenta evades bacteriophage through reversible megabase-scale inversions of capsular polysaccharide gene clusters

Peter James Turnbaugh, Shenwei Zhang, Colin Buttimer, Kai R. Trepka, Kathy Lam, Luis Raminrez Hernandez, Cecilia A. Noecker, Paola Soto-Perez, Paolo Canigiula, Edwin Ortega, Jenny Lee, Lorenzo Ramirez, Gina Partipilo, Hugh Lawrence, Francesca Bottacini, , Colin Hill

This study identifies a phage-resistant sub-population of Eggerthella lenta in mice, linked to reversible genomic inversions and altered capsule production.

bioRxiv · Apr 25, 2026 · PreprintMicrobiology

Combined assessment of MHC binding and antigen expression improves T cell epitope predictions

Zeynep Koşaloğlu‐Yalçın, Jenny Lee, Morten Nielsen, Jason Greenbaum, Stephen Philip Schoenberger, Aaron M. Miller, Young J Kim, Alessandro Sette, Bjoern Peters

This paper improves T cell epitope predictions by combining MHC binding affinities with antigen expression levels, showing better performance than methods using only binding or expression data.

bioRxiv · Nov 9, 2020 · PreprintBioinformatics