Author

Sarah Teichman

University of WashingtonORCID 0000-0003-0703-875XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1 Research Focus:phylogenetics / evolution· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Amy D. WillisiD· 2 shared Michael LeeiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Amy D. WillisORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 9, 2026

Scalable fold-change estimation from microbial metagenomics

Sarah Teichman, Amy D. Willis

The paper introduces fastEmu, a scalable method for estimating differential abundance in microbial metagenomics data, achieving faster runtime with minimal impact on error rates.

DOI 10.64898/2026.10.08.757531

metagenomicsstatistical model

𝕏 PostBluesky

BioinformaticsBiostatisticsPeer-reviewedSep 25, 2023

Analyzing microbial evolution through gene and genome phylogenies

Sarah Teichman, Michael Lee, Amy D. Willis

The paper introduces an interactive method for analyzing gene-level phylogenies in microbial evolution, enabling visualization and comparison of gene histories across bacterial strains.

2 citations

bacteria (other)DNA methylation

𝕏 PostBluesky