High resolution shotgun metagenomics: the more data, the better?

<p>This data archive contains results generated using a high resolution shotgun metagenomics (HRSM) bioinformatic pipeline (ShotgunMG - https://jtremblay.github.io/shotgunmg.html) for the following projects:</p> <p>Human gut microbiome dataset: PRJNA588513</p> <p>Antarctic soil dataset: PRJNA513362</p> <p>Agricultural soil dataset: PRJNA513362</p> <p>Mock communities: PRJNA873699</p> <p>These analyses were performed in the context of evaluating if shallow shotgun metagenomic sequencing is an adequate approach to analyze SM sequencing data using a HRSM pipeline.</p> <p>Briefly, these PRJNA projects were analyzed using identical bioinformatic procedures, but using various initial raw sequencing data loads.</p> <p>Notable end results in each archive includes: de novo co-assembly (fasta files), contigs and genes abubance matrices. Beta-diversity (Bray-Curtis dissimilarity matrices), alpha diversity (richness, chao1, Simpson and Shannon indexes matrices), taxonomic summaries from the kingdom to up to the species level and Metagenome Assembled Genomes (MAGs).</p>