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You have a gene to edit. Should you use Cas9, Cas12a, or a Base Editor? This capstone post walks you through the entire workflow—from choosing the right molecular "scissors" for your target to designing and validating your final guides.
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- bioinformatics (33)
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If you test 20,000 genes at once, you’ll get 1,000 "significant" results by chance alone. This post explains the Multiple Testing Problem and how to use the p.adjust() function in R to calculate False Discovery Rates (FDR) and protect your results.- Published on
A table of log2 CPM values is hard to read. A heatmap fixes that — but the defaults are ugly. Here is how to build a publication-ready gene expression heatmap in R with pheatmap, including clustering, color palettes, and sample annotations.- Published on
Raw counts from RNA-seq are not comparable across samples without normalization. Here is why that matters, what CPM and TPM actually do, and how to normalize in R.- Published on
Six steps from raw CSV to a publication-ready figure with significance bars. A complete, copy-paste-ready R workflow using dplyr, ggplot2, and ggsignif — built on the qPCR dataset from Arc 1.
