Courses
For life scientists who want to analyze their own NGS data — with no prior programming experience. Pick your topic, then pick how you want to learn it. Every workshop is rebuilt as a self-paced course once its live curriculum has settled, so each topic ends up available both ways.
RNA-seq Analysis for Absolute Beginners
Seven sessions from your first terminal command to a GEO submission — Linux, quantification, R, the statistics, publication figures, pathways and batch effects. Available both ways.
Taught live, in a cohort of 15
Seven live sessions with me over three weeks. This is where your questions get answered — in the session, as you hit them. You take home two pipelines you can run on your own data, the quantification scripts and the full R analysis, and it ends with a private 1:1 where we run them on your own counts table together.
The same curriculum, on your own clock
Every session recorded, and you leave with the same two pipelines the live cohort takes home. All of it downloads and runs offline. A free twelve-minute walkthrough shows you every session before you spend anything.
Which one is right for you?
You don’t have to choose once. Start with the recorded course and your $497 comes off the price of a live seat whenever you join a cohort — you pay the $500 difference, so the total is the same $997 either way.
ChIP-seq / ATAC-seq / CUT&RUN / CUT&TAG
The complete analysis pipeline for chromatin accessibility and histone modification data — raw reads to peak calling, differential analysis, and publication-ready figures. Same approach as the RNA-seq course: starting from zero, no prerequisites, ending with a pipeline you keep.
Taught live, from zero
The live cohort comes first, the same way RNA-seq did — multi-session, capped, with questions answered in the room and a 1:1 on your own data at the end.
The recorded version, later
Recorded once the live curriculum has settled — the same path the RNA-seq course took. Everything downloadable, yours to keep, no schedule to meet.