Article

Genomic GC bias correction improves species abundance estimation from metagenomic data

2024-09-23

Abstract excerpt

Metagenomic sequencing measures the species composition of microbial communities, and has revealed the crucial role of microbiomes in the etiology of a range of diseases such as colorectal cancer. Quantitative comparisons of microbial communities are, however, affected by GC-content dependent biases. Here, we present GuaCAMOLE, a computational method to detect and remove GC bias from meta-genomic sequencing data....

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Literature Corpus work: 8357a053-92e0-5a24-83a0-8f94285dd808
DOI: 10.1101/2024.09.20.614100

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