ChromBPNet Pretrained Models: Where to Get Them and How to Use Them
Training a ChromBPNet model takes a prepared dataset, a bias stage, a GPU, and patience. Sometimes all four are in […]
ChromBPNet Not Working? Common Errors and Fixes
ChromBPNet failures look dramatic and are usually mundane. A training job that dies at startup, a GPU that the framework […]
How to Interpret ChromBPNet Models with Contribution Scores and TF-MoDISco
A trained ChromBPNet model that you cannot interpret is just an expensive curve fitter. The reason researchers invest in this […]
ChromBPNet vs BPNet: What Is the Difference?
ChromBPNet did not appear from nowhere. It descends from BPNet, the Kundaje lab’s earlier framework, and the family resemblance is […]
How to Score Variant Effects with ChromBPNet
Most of the variants a genome-wide association study turns up do not sit inside genes. They sit in the noncoding […]
How ChromBPNet Removes Tn5 Bias: The Bias-Factorized Model Explained
Every ATAC-seq dataset carries a stowaway. The Tn5 enzyme that makes the assay work has its own sequence preferences, so […]
ChromBPNet Inputs Explained: Peaks, Reference Genome and Signal Data
Ask a room of ChromBPNet users where their worst bugs came from and a pattern emerges fast: the inputs. The […]
How to Train a ChromBPNet Model on Your Own ATAC-seq Data
Training your own ChromBPNet model is where the framework stops being something you read about and becomes an instrument tuned […]
How to Download and Install ChromBPNet: Setup Guide
Installing ChromBPNet is not hard, but it is the kind of setup where ten careful minutes save you hours of […]
What Is ChromBPNet? Predicting Chromatin Accessibility from DNA Sequence
Your genome is the same in nearly every cell you have, yet a neuron and a liver cell behave nothing […]