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Related Experiment Video

Updated: Jul 19, 2025

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

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

Francisco J Pardo-Palacios^1,2, Dingjie Wang^3,4,2, Fairlie Reese^5,6,2

¹Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain.

Biorxiv : the Preprint Server for Biology

|August 7, 2023

Summary

This summary is machine-generated.

The Long-read RNA-Seq Genome Annotation Assessment Project (LRGASP) evaluated long-read sequencing for transcriptome analysis. Longer, accurate reads yield better transcripts, while depth improves quantification, guiding future method development.

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Last Updated: Jul 19, 2025

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

Area of Science:

Genomics
Transcriptomics
Bioinformatics

Background:

Long-read RNA sequencing (RNA-Seq) offers potential for comprehensive transcriptome analysis.
Assessing the performance of long-read technologies is crucial for advancing transcript discovery and quantification.

Conclusions:

Orthogonal data and replicate samples are recommended for detecting rare/novel transcripts or using reference-free methods.
The study provides a benchmark for current long-read transcriptome analysis practices.
Findings offer direction for future development of long-read sequencing methods.