Two ways to learn: a step-by-step guide to the EpiNexus app, and a free book on the methods behind it.
The guide to the app: create a project, upload your files or import public data, describe your samples, run an analysis and read the results. Every setting is explained.
Open the guideEpigenomics Data Analysis with EpiNexus explains each step of an epigenomic analysis: what the step answers, what published standards recommend and why, and how to read a real result. Each step is shown on public data.
Free to read online (CC BY 4.0). Draft edition 0.1, October 2026, written for EpiNexus 1.2.6.
Read the bookFor biologists who analyse their own ChIP-seq, CUT&RUN, CUT&Tag, ATAC-seq or DNA methylation data. No programming needed.
What each assay measures, how to design an experiment you can analyse, and which data and reference files you need.
A first analysis, read processing, quality control by published standards, peak calling and signal tracks.
Differential binding and accessibility, and spike-in normalisation for genome-wide changes.
Annotation and Gene Ontology, motifs, super-enhancers and enhancer–gene links.
ChIP-seq, CUT&RUN and CUT&Tag, ATAC-seq and DNA methylation, each from public reads to biology.
Results others can reproduce, methods text and GEO submission, and how to solve problems.