A working guide to estimating immune and tissue cell-type proportions from your own bulk RNA-seq: getting the expression matrix into the right space, choosing a reference, running marker- and regression-based methods, and checking the output against a blood count.
A working guide to going from FASTQ or a count matrix to a UMAP embedding you can defend: normalization, PCA, neighbor graph settings, initialization, and what the picture does and does not tell you.
Why the data structure chosen for a genome, a variant set, an expression matrix, or a phylogeny decides which questions can be asked and what runs in reasonable time, prompted by a Boundary talk on coding agents.
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.