6 posts
A working guide to building the handful of plots that matter for a personal molecular dataset: coverage tracks, variant pileups, copy-number profiles, expression MA and volcano plots, and a genome-wide circular summary. With real commands, file formats, and the failure modes that produce misleading pictures.
A working pipeline from FASTQ to a publication-grade expression heatmap: salmon quantification, tximport, variance stabilization, gene selection, row scaling, clustering, and the sanity checks that keep you from reading noise.
A step-by-step guide to turning transcript quantifications into plots that tell you something: sample-level QC, longitudinal gene trajectories, differential expression views, and pathway summaries, with the R and command-line code to produce them.
A step-by-step guide to producing a volcano plot from a count matrix with DESeq2 and ggplot2, choosing thresholds that mean something, and reading the resulting shape correctly, including the single-cell and mass-spectrometry variants.
A working guide to turning RNA-seq FASTQs into the handful of plots that matter: sample PCA, distance heatmaps, MA and volcano plots, and longitudinal gene trajectories, with the commands, parameters, and failure modes.
A practical guide to building violin plots from bulk and single-cell RNA-seq counts: which normalization to plot, how to set kernel bandwidth and trimming, and how to read the shapes without fooling yourself.