Fig. 1: The GuaCAMOLE algorithm.
From: Genomic GC bias correction improves species abundance estimation from metagenomic data
Reads are assigned to taxa using Kraken2/Bracken8,29 and binned into discrete GC bins per taxon. Corresponding expected read counts are then computed for each taxon and GC bin from the reference genomes. The observed/expected quotients reflect the GC-dependent sequencing efficiencies scaled by each taxon’s abundance. Abundances are estimated by finding the scaling factors for which the quotients form a continuous curve.
