ReviewWiley interdisciplinary reviews. RNA2017
RNA-Seq methods for transcriptome analysis.
Review in Wiley interdisciplinary reviews. RNA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 343 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
343 citing papers in PubMed, 1 synthesis or guideline pooled it.
- RNA-Sequencing in Elucidating Immune Responses to Haemonchus contortus Infection in Small Ruminants: Systematic Review.Parasite immunology · 2025Pooled it
- Recovering CDR3 sequences from RNA-seq data: a critical assessment of computational and experimental strategies.Genomics & informatics · 2026Review
- Single-cell RNA sequencing unravels mosquito biology and host-pathogen interactions.Parasites & vectors · 2026Review
- Transcriptome and Functional Analysis Uncover the Role of ADCY5 in Bovine Adipogenesis.Animal genetics · 2026Article
- Increasing usable reads in RNA-seq protocols.iScience · 2026Article
- Integrated Transcriptome and WGCNA Analyses Reveal Candidate Regulatory Networks Associated with Shell Hardening inPlants (Basel, Switzerland) · 2026Article
- MASQ: A multiplex qPCR platform for quantitative alternative splicing analysis in clinical specimens.Molecular therapy. Nucleic acids · 2026Article
- Transcriptomic Analysis Based on RNA-Seq Technology Reveals the Molecular Mechanisms of Sunflower (Genes · 2026Article
- Research progress of omics technologies in forage breeding.Fundamental research · 2026Review
- Transcriptomic insights into the co-occurring psychological symptoms and cardiovascular risks among military service members and veterans with mild traumatic brain injury: A LIMBIC-CENC study.Brain, behavior, & immunity - health · 2026Article
- Elucidating genetic backgrounds of myasthenia gravis in Japanese by genome-wide association studies and multi-omics analyses of thymoma.Nature communications · 2026Article
- Nanopore direct RNA sequencing for RNA modification analysis: workflow assessment and computational tool benchmarking.Advanced biotechnology · 2026Article
- Article
- Artificial Intelligence Drives Advances in Multi-Omics Analysis and Precision Medicine for Sepsis.Biomedicines · 2026Review
- Transcriptomic differences in immune- and stress-related pathways associated with artificial rearing in the endangered hog deer (Axis porcinus).BMC genomics · 2026Article
- EXPLANA: a user-friendly workflow for EXPLoratory ANAlysis and feature selection in cross-sectional and longitudinal microbiome studies.Bioinformatics (Oxford, England) · 2026Article
- Leveraging Single-Cell Technologies to Advance Understanding of Myocardial Disease.Circulation research · 2026Review
- Transcriptome and weighted gene co-enrichment analysis revealed modules and candidate genes associated with barley response to low potassium stress.Frontiers in plant science · 2026Article
- Article
- Splicing as an integrative layer linking cell cycle regulation, epigenetic dynamics, and environmental responses in plants.Frontiers in plant science · 2026Review
283 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Deep sequencing has been revolutionizing biology and medicine in recent years, providing single base-level precision for our understanding of nucleic acid sequences in high throughput fashion. Sequencing of RNA, or RNA-Seq, is now a common method to analyze gene expression and to uncover novel RNA species. Aspects of RNA biogenesis and metabolism can be interrogated with specialized methods for cDNA library preparation. In this study, we review current RNA-Seq methods for general analysis of gene expression and several specific applications, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing and single-cell analysis. In addition, we discuss approaches to examine aspects of RNA in the cell, technical challenges of existing RNA-Seq methods, and future directions. WIREs RNA 2017, 8:e1364. doi: 10.1002/wrna.1364 For further resources related to this article, please visit the WIREs website.
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Identifiers
What OpenQuestion holds
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.