Author

Jennifer W Weller

U.S. National Science Foundation

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

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Assay:bulk RNA-seq· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Alvis BrāzmaiD· 1 shared B. F. Francis OuelletteiD· 1 shared Brian T. WilhelmiD· 1 shared Cesare FurlanelloiD· 1 shared Christian J. StoeckertiD· 1 shared Eleanor M. WilliamsiD· 1 shared Gabriella RusticiiD· 1 shared Giuseppe JurmaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

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10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alvis BrāzmaORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintFeb 16, 2026

RNA-seq variants reveal distinct patterns in the aging epitranscriptome: an in-depth analysis of age-matched Alzheimer's Disease patients and a cognitively normal cohort

Katherine A. Jensen, Jennifer W Weller, Kristen E. Funk

The paper analyzes RNA-seq variants to identify epitranscriptomic differences between Alzheimer's Disease and cognitively normal aged brains, finding 544 hyper-modified genes and 17 differentially modified genes.

DOI 10.64898/2026.02.14.705891

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintDec 31, 2020

Transcriptomics data availability and reusability in the transition from microarray to next-generation sequencing

Gabriella Rustici, Eleanor M. Williams, Mitra Barzine…·Neil A. Winegarden

The paper analyzes transcriptomics data availability and reusability between microarray and RNA-seq experiments published between 2009 and 2013, and provides recommendations to improve RNA-seq data sharing.

20 citations

bulk RNA-seqbenchmark study

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