Courses
For life scientists who want to analyze their own NGS data β 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 β 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 β in the session, as you hit them β and it ends with a private 1:1 where we run the pipeline on your own counts table.
The same curriculum, on your own clock
Every session recorded, plus both pipelines and the example data β 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 if you join a cohort within 12 months β 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 β 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 β 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 β the same path the RNA-seq course took. Everything downloadable, yours to keep, no schedule to meet.