Author

Rachel E. Kieser

Houston MethodistORCID 0000-0003-1820-0193Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:long-read sequencing· 1 Assay:scRNA-seq· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Avik MukherjeeiD· 1 shared Chandrama MukherjeeiD· 1 shared Cheng-Kai ShiauiD· 1 shared Dániel KissiD· 1 shared Eric L. Tong· 1 shared GaHyun LeeiD· 1 shared Hsiao‐Yun LiniD· 1 shared Jason T. HuseiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMolecular Biology

Avik MukherjeeORCID

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2 papers

Recent·Most cited

Molecular BiologyFEBS LettersPeer-reviewedMar 1, 2023

Identification of long non-coding RNAs as substrates for cytoplasmic capping enzyme

Avik Mukherjee, Safirul Islam, Rachel E. Kieser…·Chandrama Mukherjee

The paper investigates whether long non-coding RNAs are substrates for cytoplasmic capping enzyme by analyzing their subcellular localization and uncapped forms.

11 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintJan 24, 2023

Delineating genotypes and phenotypes of individual cells from long-read single cell transcriptomes

Cheng-Kai Shiau, Lina Lu, Rachel E. Kieser…·Ruli Gao

The paper introduces scNanoGPS, a toolkit for analyzing long-read single-cell transcriptomes to infer cell genotypes and phenotypes without short-read data, revealing cell-type-specific isoform and mutation patterns in tumors.

DOI 10.1101/2023.01.24.525264

humanscRNA-seq

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