Author

Sharon Aviran

Primary ORCID profile (0000-0003-1872-9820 · 7 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Sharon AviraniD7 papers · University of California, Davis

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2

Frequent Co-Authors

Blythe Durbin-Johnson· 2 shared David M RockeiD· 2 shared J. Jared Gossett· 2 shared Luyao Ruan· 2 shared Akshay Tambe· 1 shared Bo Li· 1 shared Lior Pachter· 1 shared Yilun Zhang· 1 shared

Activity by Year

2015-2017 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Blythe Durbin-Johnson

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3 papers

Recent·Most cited

Prober: A general toolkit for analyzing sequencing-based ‘toeprinting’ assays

Bo Li, Akshay Tambe, Sharon Aviran, Lior Pachter

PROBer is a statistical model that addresses computational challenges in sequencing-based toeprinting assays by learning isoform-specific chemical modification profiles.

Cell Systems · May 1, 2017Peer-reviewedGenomics

Excess False Positive Rates in Methods for Differential Gene Expression Analysis using RNA-Seq Data

David M Rocke, Luyao Ruan, Yilun Zhang, J. Jared Gossett, Blythe Durbin-Johnson, Sharon Aviran

The paper evaluates differential gene expression methods using RNA-Seq data and finds that methods relying on negative binomial models show high false positive rates, while variance-based methods do not.

bioRxiv · Jun 11, 2015 · PreprintBioinformatics

Controlling False Positive Rates in Methods for Differential Gene Expression Analysis using RNA-Seq Data

David M Rocke, Luyao Ruan, J. Jared Gossett, Blythe Durbin-Johnson, Sharon Aviran

The paper evaluates differential gene expression methods using RNA-Seq data, finding that many produce false positives and recommends limma-voom and simple methods for better performance.

bioRxiv · Apr 30, 2015 · PreprintBioinformatics