Author

Andrea J. Barczak

University of California, San FranciscoORCID 0000-0003-3901-0997Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

David J. ErleiD· 2 shared Louise Chang LaurentiD· 2 shared Paula M. GodoyiD· 2 shared Srimeenakshi SrinivasaniD· 2 shared Alton Etheridge· 1 shared Amanda Courtright· 1 shared David H. BaxteriD· 1 shared David J. GalasiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenomics

David J. ErleORCID

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintMay 24, 2019

Comparison of miRNA profiling methods using synthetic miRNA pools and standardized exRNA samples reveals substantial performance differences

Paula M. Godoy, Andrea J. Barczak, Peter DeHoff…·Louise Chang Laurent

This study compares miRNA profiling methods using synthetic pools and exRNA samples, finding significant differences in reproducibility, accuracy, and sensitivity across platforms.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsCell ReportsPeer-reviewedJan 1, 2018

Large differences in small RNA composition between human biofluids

Paula M. Godoy, Nirav R. Bhakta, Andrea J. Barczak…·David J. Erle

The paper compares small RNA composition across 12 human biofluids, finding large variations in miRNA and tDR levels and identifying Y RNA fragments in several biofluids.

243 citationstop 1%

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsbioRxivPreprintMay 17, 2017

Accuracy, Reproducibility And Bias Of Next Generation Sequencing For Quantitative Small RNA Profiling: A Multiple Protocol Study Across Multiple Laboratories

MD Giraldez, Ryan M. Spengler, Alton Etheridge…·Muneesh Tewari

This study evaluates the accuracy, reproducibility, and bias of small RNA-seq across five protocols and nine labs, finding protocol-specific bias that can be mitigated with adapters and computational corrections.

5 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky