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How It Works

A streamlined six-step workflow from soil sample to actionable microbiome intelligence.

Sample & Ship

Receive your sampling kit with stabilisation buffer and clear protocols. Collect soil from your target sites and ship to our lab via cold-chain logistics.

Extract DNA

Optimised extraction protocols for clay, sand, peat and organic soil matrices. Quality assessment and concentration normalisation within 48 hours.

Library Prep

Targeting bacterial 16S V3-V4, fungal ITS1/ITS2, and archaeal 16S regions. Shotgun library prep available for functional metagenomics.

Sequence

Illumina MiSeq/NovaSeq for high-throughput amplicon and shotgun sequencing, or Oxford Nanopore MinION for real-time long-read analysis.

AI Analysis

QIIME2 and custom ML pipelines for taxonomic classification, diversity analysis, functional gene prediction, and soil health modelling.

Report

Interactive cloud dashboard with heatmaps, diversity metrics, site comparisons, and clear management recommendations you can act on.

Sequencing Platforms

Dual-platform capability delivers both high-throughput precision and real-time field-deployable results.

Illumina MiSeq / NovaSeq High-Throughput Short-Read

Industry-standard platform for amplicon and shotgun metagenomics. Generates millions of high-accuracy paired-end reads for deep community profiling with species- and strain-level resolution across bacterial, fungal, and archaeal domains.

2×300bp Paired-End Q30 > 85% 16S / ITS / WGS High Throughput

Oxford Nanopore MinION Real-Time Long-Read

Portable, field-deployable sequencer enabling real-time analysis. Long reads spanning full 16S and ITS genes provide superior taxonomic resolution. Ideal for rapid pathogen screening and on-site soil health triage where speed is critical.

Long Reads >10kb Real-Time Field Deployable Full-Length 16S

AI-Powered Bioinformatics

Proprietary machine learning models transform raw sequencing data into predictive soil health intelligence.

ML Taxonomic Classification

Deep learning models trained on curated soil microbiome databases for accurate species-level assignment, outperforming traditional BLAST-based methods in ambiguous taxa.

Functional Gene Prediction

PICRUSt2 and custom neural networks predict metabolic pathways, nutrient cycling genes, and functional capacity directly from 16S amplicon data.

Predictive Health Modelling

Correlate microbial profiles with agronomic indicators to generate predictive models for nutrient availability, disease risk, and yield potential.

Anomaly Detection

Automated flagging of unusual microbial shifts, pathogen emergence, and community disturbances that signal soil health degradation before visible symptoms appear.

Diversity Analytics

Comprehensive alpha diversity (Shannon, Simpson, Chao1) and beta diversity (PCoA, NMDS, PERMANOVA) with statistical testing and publication-ready visualisations.

Natural Language Summaries

AI-generated plain-language interpretations of complex microbiome data, making results accessible to agronomists, land managers, and non-specialist stakeholders.

Data Infrastructure

Enterprise-grade data management built for security, reproducibility, and seamless collaboration.

Cloud Analytics Portal

Secure, interactive web dashboard for exploring results, comparing samples across sites and timepoints, and downloading publication-ready figures and raw data files.

Curated Reference Databases

Continuously updated microbial reference databases spanning Australian and global soil ecosystems, with custom curation for agricultural, pastoral, and native soil biomes.

FAIR Data Principles

All data managed under Findable, Accessible, Interoperable, and Reusable standards. Version-controlled pipelines ensure complete analytical reproducibility.

API Access

RESTful API for programmatic integration with existing farm management systems, LIMS platforms, and third-party analytics tools for enterprise-scale deployments.

Tools & Integrations

Our platform leverages industry-standard bioinformatics tools alongside proprietary AI models.

QIIME2

Core bioinformatics pipeline for amplicon processing, denoising, and taxonomic classification.

R / Python

Custom statistical analysis, visualisation, and machine learning model development using phyloseq, vegan, and scikit-learn.

PICRUSt2

Functional pathway prediction from marker gene data enabling metabolic capacity inference without shotgun sequencing.

GIS Mapping

Spatial visualisation of microbiome data overlaid with soil type, land use, and environmental variables for site-level insights.

SILVA / UNITE

Gold-standard reference databases for bacterial 16S and fungal ITS taxonomic assignment with regular updates.

TensorFlow

Deep learning framework powering our custom taxonomic classifiers and soil health prediction models.

MultiQC

Automated quality control reporting aggregating metrics across sequencing runs for transparent data validation.

Nextflow

Reproducible, containerised workflow orchestration ensuring consistent results across analysis environments.

See Our Technology in Action

Request a sample report or schedule a demo to experience the SoilBiome.ai platform firsthand.

Request a Demo