Expand description
Tools for estimating a count cutoff with FASTQ input.
This module has a basic k-mer counter using a dictionary, and then uses maximum likelihood with some basic numerical optimisation to fit a two-component mixture of Poissons to determine a coverage model. This can be used to classify a count cutoff with noisy data.
CoverageHistogram is the main interface.
Structsยง
- Coverage
Histogram - K-mer counts and a coverage model for a single sample, using a pair of FASTQ files as input