Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

🏆 Top 10📊 OpenAlex

#3PRI RANKED

Most Cited Paper

in Molecular Biology Techniques and Applications

18 Months Post-Publication

Class of 2026

“Systematic assessment of long-read RNA-seq methods for transcript identification and quantification”

AuthorsFrancisco J Pardo-Palacios, Dingjie Wang, Fairlie Reese, Mark Diekhans, Sílvia Carbonell-Sala, Brian Williams, Jane E Loveland, Maite De María et al.

Ashley M. Brooks, Christopher Vollmers, Adam Frankish, Kin Fai Au, Gloria Sheynkman, A Mortazavi, Ana Conesa, Angela N. Brooks

JournalNature Methods

Spanish National Research Council (CSIC)

Citations124

DOI10.1038/s41592-024-02298-3

A research intelligence initiative by Pepkio

pri.pepkio.com

Download badge image

Topics

long-read RNA-seq · Isoform detection · transcript quantification · Transcript detection · complementary DNA sequencing · Direct RNA sequencing · Long-read RNA-Seq Genome Annotation Assessment Project · Sequencing coverage · read length · read accuracy · reference-based transcript assembly · reference-free transcript assembly · Transcript detection · Transcript detection · Multi-modal integration · transcriptome benchmarking · genome annotation · sequencing platform comparison · library preparation protocols

Share on X

Cite this ranking

Pepkio Research Index (PRI). Topics and Trends in Most Cited Molecular Biology Techniques and Applications Papers, Class of 2026. https://pri.pepkio.com/top-papers/molecular-biology-techniques-and-applications/2026. Accessed 2026-07-24.

Methodology
Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459