ArticleNature methods2024
Systematic assessment of long-read RNA-seq methods for transcript identification and quantification.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
199 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review and meta-analysis of bulk RNAseq studies in human Alzheimer's disease brain tissue.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Guidelines to Study Transcriptome Remodeling by Proteins Using Deep Sequencing (RNA-Seq).Methods in molecular biology (Clifton, N.J.) · 2027Article
- Cortical transcriptomic dysregulation in Autism spectrum disorder: A conceptual synthesis.IBRO neuroscience reports · 2026Review
- Epitranscriptomic profiling of VSMC phenotypes reveals uridine modifications linked to post-transcriptional regulation.Biochemistry and biophysics reports · 2026Article
- Review
- SNP calling, haplotype phasing and allele-specific analysis with long RNA-seq reads.Nature methods · 2026Article
- Tumour-associated dsRNA accumulation and innate immune activation: mechanistic basis and therapeutic strategies.EBioMedicine · 2026Review
- LRP2: A proteogenomics pipeline for long-read informed protein isoform analysis and discovery.bioRxiv : the preprint server for biology · 2026Article
- Minigene-based characterization and classification of splice-associated variants in succinate dehydrogenase B.NPJ precision oncology · 2026Article
- Long-read transcriptome analysis using IsoRanker for identifying pathogenic variants in Mendelian conditions.American journal of human genetics · 2026Article
- Article
- IsoformSwitchAnalyzeR v2: analysis of functional isoform changes in long-read and single-cell sequencing data.NAR genomics and bioinformatics · 2026Article
- ONT-only genome assembly of a Korean male individual using a semen sample.Genes & genomics · 2026Article
- Toward the clinical application of long-read sequencing in repeat-expansion disorders.Nature genetics · 2026Review
- Validation of the International Weed Genomics Consortium genome annotation pipeline through reannotation of the model species Arabidopsis thaliana.The plant genome · 2026Article
- Spatial isoform sequencing at single-cell resolution reveals cell-type-specific spatial isoform variability in multiple brain cell types.Nature methods · 2026Article
- Handling biological replicates in long-read RNA sequencing data by joining or not joining.Nature communications · 2026Article
- A systematic benchmark of bioinformatics methods for single-cell and spatial RNA-seq nanopore long reads data.NAR genomics and bioinformatics · 2026Article
- Advances in Poultry RNA-Omics Research: Technologies, RNA Information Layers, and Applications in Complex Traits.Animals : an open access journal from MDPI · 2026Review
- Leveraging long read RNA-seq to decipher neuronal regulation of alternative polyadenylation.Nature communications · 2026Article
139 more citing papers are in PubMed but not listed here.
Corrections and comments
- Update of
Authors and funding
87 authors.
Funding
Abstract
The Long-read RNA-Seq Genome Annotation Assessment Project Consortium was formed to evaluate the effectiveness of long-read approaches for transcriptome analysis. Using different protocols and sequencing platforms, the consortium generated over 427 million long-read sequences from complementary DNA and direct RNA datasets, encompassing human, mouse and manatee species. Developers utilized these data to address challenges in transcript isoform detection, quantification and de novo transcript detection. The study revealed that libraries with longer, more accurate sequences produce more accurate transcripts than those with increased read depth, whereas greater read depth improved quantification accuracy. In well-annotated genomes, tools based on reference sequences demonstrated the best performance. Incorporating additional orthogonal data and replicate samples is advised when aiming to detect rare and novel transcripts or using reference-free approaches. This collaborative study offers a benchmark for current practices and provides direction for future method development in transcriptome analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.