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Some things are far easier to watch than to read about. These explainers cover the concepts students get stuck on — how sequencing actually works, why we run FastQC, how a read finds its place in the genome, and how a neural network learns.
Transcriptomics
Follow 180 million reads from the sequencer to a list of differentially expressed genes, watching the data change shape at every stage. Click through and see exactly what each step throws away.
Transcriptomics
Two samples, five genes and three confounds. Watch CPM, FPKM, TPM and median-of-ratios each fix one problem and miss the next, and see why DESeq2 refuses to take TPM as input.
Transcriptomics
Three thousand barcodes, a knee plot and a resolution slider. Watch how two judgement calls — what counts as a cell, and how hard to cut the neighbour graph — decide the result that gets published as a discovery.
Transcriptomics
Transcript and protein measured on the same samples, plotted against each other. The correlation is about 0.4 — and the genes that fall off the diagonal are not errors, they are the post-transcriptional layer doing its job.