Bioinformatic data processing pipelines in support of next-generation sequencing-based HIV drug resistance testing: the Winnipeg Consensus.
Hezhao JiEric EnnsChanson J BrummeNeil ParkinMark HowisonEmma R LeeRupert CapinaEric MarinierSantiago Avila-RiosPaul SandstromGary Van DomselaarRichard HarriganRoger ParedesRami KantorMarc Noguera-JulianPublished in: Journal of the International AIDS Society (2019)
While NGS is being adopted more broadly in HIVDR testing laboratories, data processing is often a bottleneck hindering its generalized application. The proposed standardization of NGS read QC/QA, read alignment and reference mapping, variant calling and QC, HIVDR reporting and relevant data management strategies in this "Winnipeg Consensus" may serve as a starting guideline for NGS HIVDR data processing that informs the refinement of existing pipelines and those yet to be developed. Moreover, the bioinformatic strategies presented here may apply more broadly to NGS data analysis of microbes harbouring significant genomic diversity.