Author

Aileen R. Lee

University of MinnesotaORCID 0000-0002-6957-2598Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Michael F. FreemaniD· 2 shared Aman S. ImaniiD· 1 shared Daniel ChangiD· 1 shared Douglas A. MitchelliD· 1 shared Graham A. HudsoniD· 1 shared Jaeyun SungiD· 1 shared John M. DavisiD· 1 shared Riley S. CarteriD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Michael F. FreemanORCID

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2 papers

Recent·Most cited

Computationally guided exploration of borosin biosynthetic strategies

Aileen R. Lee, Riley S. Carter, Aman S. Imani, Shravan R. Dommaraju, Graham A. Hudson, Douglas A. Mitchell, Michael F. Freeman

The paper updates a genome mining tool to identify borosin precursor peptides and characterizes new biosynthetic features.

ACS Chemical Biology · May 2, 2024Peer-reviewedBioinformatics

TaxiBGC: a Taxonomy-guided Approach for Profiling Experimentally Characterized Microbial Biosynthetic Gene Clusters and Secondary Metabolite Production Potential in Metagenomes

Vinod Kumar Gupta, Utpal Bakshi, Daniel Chang, Aileen R. Lee, John M. Davis, Sriram Chandrasekaran, Yong‐Su Jin, Michael F. Freeman, Jaeyun Sung

TaxiBGC improves BGC prediction in metagenomes by using taxonomy-guided methods, showing better performance than read-based approaches and linking BGCs to human diseases.

mSystems · Nov 15, 2022Peer-reviewedBioinformatics