ArticleAmerican journal of respiratory cell and molecular biology2018
A Beginner's Guide to Analysis of RNA Sequencing Data.
Article in American journal of respiratory cell and molecular biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.
What it found
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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
92 citing papers in PubMed, 1 synthesis or guideline pooled it.
- RNA-seq research landscape in Africa: systematic review reveals disparities and opportunities.European journal of medical research · 2023Pooled it
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- Whole-blood transcriptomic response to whole-body hyperthermia in participants with major depressive disorder.Brain, behavior, & immunity - health · 2026Article
- Co-expression analysis identifies organ-specific gene regulatory networks responsive to phosphate limitation in hemp (Cannabis sativa L.).BMC plant biology · 2026Article
- Neural Latent Filtering for Gene Discovery in Breast Cancer Subtypes.Biotechnology reports (Amsterdam, Netherlands) · 2026Article
- Sample size requirements for machine learning classification of binary outcomes in bulk RNA-Seq data.BMC bioinformatics · 2026Article
- Deep learning application for genomic data analysis.BMB reports · 2026Review
- Transcriptomic profiling of myocardial biopsies reveals metabolic suppression and autophagy activation in systemic sclerosis-associated primary heart involvement.Journal of scleroderma and related disorders · 2026Article
- Ugonin J Inhibits EMT and Migration in Prostate Cancer by Suppressing ADAM9 Expression.Oncology research · 2026Article
- Culture medium and plant growth regulator regimes influence the transcriptome and cannabisin accumulation inFrontiers in plant science · 2026Article
- Pichia pastoris RNA-Sequencing and Data Analysis.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Technologies in Biomarker Discovery for Animal Diseases: Mechanisms, Classification, and Diagnostic Applications.Animals : an open access journal from MDPI · 2025Review
- A Scorecard for Information Synthesis in Multiple Experimental Conditions: Application to Bacterial Biofilm Matrix Transcriptomics.Current microbiology · 2025Article
- Accounting for differences between Infinium MethylationEPIC v2 and v1 in DNA methylation-based tools.Life science alliance · 2025Article
- Cluefish: mining the dark matter of transcriptional data series with over-representation analysis enhanced by aggregated biological prior knowledge.NAR genomics and bioinformatics · 2025Article
- Artificial Intelligence in Ocular Transcriptomics: Applications of Unsupervised and Supervised Learning.Cells · 2025Review
- Exposure-inducible genes may contribute to missingness in RNAseq-based gene expression analyses.Scientific reports · 2025Article
- Tryptophan-Rich Diet Improves High-Fat Diet-Induced Cognitive Dysfunction and Blood-Brain Barrier Disruption in C57BL/6 Mice through FFAR3 Activation.Journal of agricultural and food chemistry · 2025Article
- Accounting for differences between Infinium MethylationEPIC v2 and v1 in DNA methylation-based tools.bioRxiv : the preprint server for biology · 2025Article
- A novel piperine derivative HJ-23 exhibits anti-colorectal cancer effects by activating the p53 pathway.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
32 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
7 authors.
Funding
Abstract
Since the first publications coining the term RNA-seq (RNA sequencing) appeared in 2008, the number of publications containing RNA-seq data has grown exponentially, hitting an all-time high of 2,808 publications in 2016 (PubMed). With this wealth of RNA-seq data being generated, it is a challenge to extract maximal meaning from these datasets, and without the appropriate skills and background, there is risk of misinterpretation of these data. However, a general understanding of the principles underlying each step of RNA-seq data analysis allows investigators without a background in programming and bioinformatics to critically analyze their own datasets as well as published data. Our goals in the present review are to break down the steps of a typical RNA-seq analysis and to highlight the pitfalls and checkpoints along the way that are vital for bench scientists and biomedical researchers performing experiments that use RNA-seq.
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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.