ArticleBriefings in functional genomics2017
Multi-perspective quality control of Illumina RNA sequencing data analysis.
Article in Briefings in functional genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.
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.
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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
82 citing papers in PubMed.
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- ImmuSeeker: deep mining of immune-related gene family signatures through lineage reconstruction.Genome biology · 2026Article
- Friedreich ataxia transcriptomic dysregulation and identification of cell type-specific biomarkers: A systematic review and meta-analysis.bioRxiv : the preprint server for biology · 2026Article
- A transcriptomic dimension of neuronal and immune gene programs within the subgenual anterior cingulate cortex in schizophrenia.Translational psychiatry · 2026Article
- Unveiling rhizobacterial diversity in rice-maize systems in response to penoxsulam-pendimethalin application.BMC plant biology · 2026Article
- Spaceflight alters molecular networks linked to diverse human diseases in a single cellular model.Science advances · 2026Article
- Article
- Harnessing plasma transcriptomics for non-invasive cancer biomarker identification: a comprehensive review.Discover oncology · 2025Review
- Exploring Sex Differences in Type 2 Diabetes via a Male-Dominant Beta-Cell Cluster from Single-Cell Pancreatic Sequencing of Public Datasets.Endocrinology and metabolism (Seoul, Korea) · 2025Article
- Transcriptomic profiling of milk fat globules in cows with different β-casein genotypes.Scientific reports · 2025Article
- Experimental reporting of fish transcriptomic responses in environmental toxicology and ecotoxicology.Environmental toxicology and chemistry · 2025Review
- Development of an End-to-End Total RNA Sequencing Quality Control Framework for Blood-Based Biomarker Discovery.The Journal of molecular diagnostics : JMD · 2025Article
- Optimising RNA extraction for paddy bulk soil samples for metatranscriptome sequencing.BMC research notes · 2025Article
- The impact of PCR duplication on RNAseq data generated using NovaSeq 6000, NovaSeq X, AVITI, and G4 sequencers.Genome biology · 2025Article
- Preservation of milk in liquid nitrogen during sample collection does not affect the RNA quality for RNA-seq analysis.BMC genomics · 2025Article
- Development and application of a whole transcriptome sequencing assay for the detection of gene fusions in clinical cancer specimens.BMC cancer · 2025Article
- A neuro-immune axis of transcriptomic dysregulation within the subgenual anterior cingulate cortex in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Expression profile analysis of estrous-phased ovarian tissue of high and low prolific lines of inbred Swiss albino mice.Molecular biology reports · 2025Article
- Lossless and reference-free compression of FASTQ/A files using GeneSqueeze.Scientific reports · 2025Article
22 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
8 authors.
Funding
Abstract
Quality control (QC) is a critical step in RNA sequencing (RNA-seq). Yet, it is often ignored or conducted on a limited basis. Here, we present a multi-perspective strategy for QC of RNA-seq experiments. The QC of RNA-seq can be divided into four related stages: (1) RNA quality, (2) raw read data (FASTQ), (3) alignment and (4) gene expression. We illustrate the importance of conducting QC at each stage of an RNA-seq experiment and demonstrate our recommended RNA-seq QC strategy. Furthermore, we discuss the major and often neglected quality issues associated with the three major types of RNA-seq: mRNA, total RNA and small RNA. This RNA-seq QC overview provides comprehensive guidance for researchers who conduct RNA-seq experiments.
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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.