Hi Biostars,
I looked for kind of plot use log2FC to visualize gene expression of only one gene but could not find out. Would you please have a suggestion? Simply as bar plot for gene expression to know gene A express higher in sample 1 vs sample 2. Volcano plot or heat map show all the gene. Even though I can label one gene in those plots but the biologist only want to focus on genes of interest. Thank you so much!
Why not use barplots like you mention for a single gene and heatmaps or grouped barplots for multiple genes? RNA-seq yields relative metrics and cannot strictly be compared between samples using any of the RPKM/FPKM/TPM measures but it doesn't stop people from comparing anyway. I think if the samples were sequenced at comparable library depths, upper-quartile normalize the raw counts, scale per-gene and compare Z-scores.
Because I don't find out code or tutorial doing that in RNA-seq analysis. Most of them use heatmap or volcano plot.
DESeq has a simple built-in function to plot a single gene:
https://www.rdocumentation.org/packages/DESeq2/versions/1.12.3/topics/plotCounts
Thank you! Is there any way we could add color to the dot to distinguish between conditions or adjust the size of the dot? This one has color but I am not sure how to get it. https://r.acidgenomics.com/packages/deseqanalysis/reference/plotCounts.html
Yes, you can do anything in ggplot. But this is a super simple, don't have to learn anything about plotting solution.
It's a vector of numbers and a bar plot. Don't overthink it :-)