How DataCore Analytics Keeps Data Confidential
12 May 2026
From amplicon reads or shotgun data to taxonomic profiles, diversity statistics and differential abundance results that survive review.
Microbiome analysis is unusually easy to do badly. Compositional data violates the assumptions of the tests most commonly applied to it, rarefaction throws away information, and contamination from reagents and kits can dominate low-biomass samples entirely.
We use compositionally aware methods, run negative controls through the same pipeline where you have them, and report the analyses that were tried, not just the one that gave a significant result.
Each project uses the subset of these that your research question requires.
DADA2 or Deblur denoising to amplicon sequence variants, chimera removal, and taxonomic assignment against SILVA, GTDB, UNITE or Greengenes2.
Species-level profiling with MetaPhlAn or Kraken2/Bracken, functional pathway profiling with HUMAnN, and antimicrobial resistance gene detection.
Assembly, binning and quality assessment to recover metagenome-assembled genomes, with completeness and contamination scored by CheckM.
Alpha and beta diversity with appropriate transformations, PERMANOVA and ordination, and testing of the covariates that actually structure your communities.
ANCOM-BC, ALDEx2, MaAsLin2 or LinDA — compositionally aware methods with multiple testing correction, plus decontamination against negative controls.
Typical turnaround: 2–4 weeks for amplicon; 4–6 weeks for shotgun with assembly
Indicative price: From $699 for an amplicon study through to differential abundance
Reduced rates are available for students and researchers at African public institutions. Every project is quoted in writing before work begins.
Services are provided for research purposes only. They are not intended for clinical diagnosis, treatment decisions or individual health assessment. See how it works, data submission guidelines and what you receive.
