2018
DOI: 10.1155/2018/2906292
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A Simple Guideline to Assess the Characteristics of RNA-Seq Data

Abstract: Next-generation sequencing (NGS) techniques have been used to generate various molecular maps including genomes, epigenomes, and transcriptomes. Transcriptomes from a given cell population can be profiled via RNA-seq. However, there is no simple way to assess the characteristics of RNA-seq data systematically. In this study, we provide a simple method that can intuitively evaluate RNA-seq data using two different principal component analysis (PCA) plots. The gene expression PCA plot provides insights into the … Show more

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Cited by 25 publications
(15 citation statements)
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“…The majority of samples with poor replicability exhibited poor RNA transcript quality when assessed by two separate CLIA-certified labs (Fig. 1 C), particularly for the TIN metric 22 , 23 (Fig. 1 B).…”
Section: Resultsmentioning
confidence: 99%
“…The majority of samples with poor replicability exhibited poor RNA transcript quality when assessed by two separate CLIA-certified labs (Fig. 1 C), particularly for the TIN metric 22 , 23 (Fig. 1 B).…”
Section: Resultsmentioning
confidence: 99%
“…The number of mapped reads from all treatments was compared using a one way ANOVA implemented in R. FPKM values of all genes from treated and inoculated replicates were log-transformed to build PCA plots using the R-package ggfortify ( ) ( Son et al., 2018 ).…”
Section: Methodsmentioning
confidence: 99%
“…Principal component analysis of the adipocytes revealed clustering of the diet groups and timepoints. This analysis facilitates a high level overview of similarities and differences between the samples and groups in relation to how they cluster 44 (Fig. 3A).…”
Section: Adipocytes Upregulate Expression Of Extracellular Matrix Genmentioning
confidence: 99%