A glance into specie composition of biological aeroallergens: metagenomic approach

Environmental metagenomic air samples contain a large amount of information that can be unraveled with a suitable toolkit. Among numerous objectives, taxonomic identification and relative abundance estimation are one of the key points of interest in metagenomic DNA analysis. This type of analysis for large sequence datasets requires considerable computing resources with the publicly available bioinformatic software and pipelines optimized for analysis of next generation sequencing data and often targeting only bacteria. The SYLVA-DNA-classifier is a pipeline developed to efficiently and accurately classify large quantities of 3rd generation sequencing data among all kingdoms, with a special focus on plants and fungi, as best known aeroallergens.