Author

Diana Hazard Taft

University of California SystemORCID 0000-0002-9306-9968Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Asmaa M. N. FataniiD· 1 shared Danielle G. LemayiD· 1 shared David Andrew MillsiD· 1 shared Gabrielle L. Gorwitz· 1 shared Ian F. KorfiD· 1 shared Joonhyuk Suh· 1 shared Julia M Quinones· 1 shared Mark S. SegaliD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

Asmaa M. N. FataniORCID

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2 papers

Recent·Most cited

A Metagenomic Approach Does Not Elucidate Uremic Toxin Levels in Hemodialysis Patients.

Diana Hazard Taft, Julia M Quinones, Melissa Stradley Moreno, Asmaa M. N. Fatani, Joonhyuk Suh, Gabrielle L. Gorwitz, Yu Wang, Mark S. Segal, Wendy J. Dahl

This study investigates the relationship between fecal microbiome and serum uremic toxins in hemodialysis patients, finding that dietary protein-to-fiber ratio, not microbiome composition, is significantly associated with toxin levels.

bioRxiv · Jul 16, 2024 · PreprintMicrobiology

Pre- and post-sequencing recommendations for functional annotation of human fecal metagenomes

Michelle L. Treiber, Diana Hazard Taft, Ian F. Korf, David Andrew Mills, Danielle G. Lemay

The paper evaluates how sequencing parameters affect gene detection in human fecal metagenomes using DIAMOND, finding that read length, e-value thresholds, and custom databases improve detection accuracy.

BMC Bioinformatics · Feb 24, 2020Peer-reviewedBioinformatics