Prokaryotic RNA sequencing utilizes next-generation high-throughput sequencing (NGS) technology to sequence the prokaryotic transcriptome and quickly and systematically procure data of all transcripts (coding and non-coding mRNA).
Prokaryotic RNA sequencing profiles the transcriptome through a stranded RNA library, delivering a more accurate estimation of transcript expression.
A260/230 ≥ 2.0
The first step of the project workflow includes sample quality control (Sample QC) to ensure that your samples meet the criteria of the RNA-Seq technique. Then, an appropriate library is constructed according to your target organism and subsequently tested for its quality (Library QC). Next, a paired-end 150 bp sequencing strategy is used to sequence the samples, and the resulting data goes through quality data control (Data QC) to guarantee the quality of the resulting data. Finally, bioinformatic analyses are performed and publication-ready results are provided. The following flowsheet elaborates the step-by-step protocol.
To compare gene expression levels under different conditions, gene expression level and FPKM distribution among different samples are displayed.
The figure reveals the FPKM density distribution. The x-axis shows the log10(FPKM+1) and the y-axis describes the gene density
Volcano plots are used to infer the overall distribution of differentially expressed genes.
Red, and green shows significantly up-, and down-regulated genes, respectively. Blue indicates no significance.
The 5′ and 3′ UTR sequences are extracted based on the start and end positions of both transcription and translation. The length distributions of both 5′ and 3′ UTR sequences are plotted, respectively.
The x-axis shows the length intervals of UTRs, and the y-axis shows densities of UTRs in different length intervals. The dotted red line describes the averaged length.
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