Microbial genomics · Ecology · Bioinformatics

Applied Solutions

Study-specific analysis for environmental and biotechnology questions. We connect microbial genomics and omics data with metadata, appropriate statistics and biological interpretation to evaluate evidence in the context of each application.

Mangrove roots, seagrass and coastal sediment connected through microbial and nutrient pathways

Blue Carbon & Coastal Ecosystems

Microbial and ecological evidence supports coastal ecosystem research, restoration baselines, ecosystem-health assessment and long-term monitoring.

Research questions

How do communities and functional patterns vary across mangroves, seagrasses, coastal gradients or restoration stages?

How we support your study

We integrate microbial community profiling and metagenomics with environmental metadata and ecological statistics. The results can contribute to monitoring, reporting and verification (MRV) documentation. Carbon accounting, certification and accredited carbon-credit verification are outside our scope.

  • Community profiles and microbial functional potential
  • Environmental associations and ecological interpretation
  • Temporal and spatial comparisons across monitoring or restoration studies
Discuss your research
Forest and grassland soils with connected microbial communities across environmental monitoring sites

Environmental Monitoring

Microbial and ecological analysis can help establish baselines and assess changes across coastal, terrestrial and other environmental systems.

Research questions

How do communities respond to pollution, disturbance or environmental gradients? What changes are supported across monitoring periods or after restoration and other interventions?

How we support your study

We combine microbial profiles with physicochemical metadata, multivariate statistics and constrained ordination. This provides specialist analytical support for environmental assessments; statutory EIA reports and accredited consultancy services are outside our scope.

  • Baseline and impact-related community comparisons
  • Environmental associations and design-aware ecological models
  • Longitudinal and post-intervention monitoring with uncertainty summaries
Discuss your research
Crop roots and soil layers linked with microbial communities and genomic signals

Agriculture & Soil Microbiomes

Investigate microbial patterns associated with soil conditions, crops and treatments, including plant–microbe relationships and nutrient cycling.

Research questions

How do rhizosphere communities differ across crops, treatments or soil conditions? Which patterns relate to nutrient availability, biofertiliser or biocontrol research?

How we support your study

We analyse 16S/ITS and metagenomic datasets alongside soil and crop metadata, selecting comparisons that account for field design and environmental variation.

  • Diversity, community shifts and differential abundance
  • Functional potential and nutrient-related annotations
  • Indicator taxa and community–soil associations
Discuss your research
Water and sediment pollutant signals linked with microbial metabolic networks

Pollution, Xenobiotics & Bioremediation

Assess pollutant-associated community changes and candidate biodegradation functions using microbiome and genomic data.

Research questions

How do communities differ between contaminated and reference sites? Which candidate functions relate to hydrocarbons, pesticides or industrial contaminants?

How we support your study

We connect microbial profiles and metabolic annotations with pollutant measurements and study design. Computational potential requires experimental validation before bioremediation performance can be claimed.

  • Community shifts and contaminated–reference comparisons
  • Candidate xenobiotic and degradation pathway annotations
  • Pollution associations, ecological models and scientific figures
Discuss your research
Microbial genomes, gene segments and plasmid relationships linked to wastewater research data

Antimicrobial Resistance & Microbial Surveillance

Genomic and metagenomic data support research into the distribution and context of antimicrobial resistance-associated genes.

Research questions

Which resistance-associated genes occur in a dataset? How do their genomic contexts and profiles differ across environmental, wastewater or isolate samples?

How we support your study

We examine resistomes, strain relationships and mobile-element context where the data allow. Findings support research surveillance, not clinical diagnosis or treatment decisions.

  • AMR gene annotation and comparative resistome profiles
  • Plasmid and mobile-element context where resolvable
  • Genome similarity, strain comparisons and metadata integration
Discuss your research
Abstract host-associated microbial communities linked to comparative cohort research data

Health-Associated Microbiome Research

Gut, oral, skin and other host-associated microbiomes raise questions about community variation across research cohorts and sampled conditions.

Research questions

Which patterns differ across groups or time points? How do treatment exposure and available study metadata relate to community composition or function?

How we support your study

We design comparisons around replication, repeated measures and confounders, using appropriately de-identified research data. These services are not diagnostic or therapeutic.

  • Amplicon and metagenomic cohort comparisons
  • Longitudinal and metadata-adjusted statistical analysis
  • Functional profiles, expression integration and clear reporting
Discuss your research
Genomic fragments and candidate gene families connected with an abstract enzyme structure

Genome-Resolved Metagenomics & Bioprospecting

Genome-resolved analysis links candidate microbial functions and enzymes to reconstructed genomes and their biological context.

Research questions

Which microbes, functions and pathways merit further study? How can genome quality and comparative evidence inform candidate prioritisation?

How we support your study

We recover and assess metagenome-assembled genomes (MAGs), annotate functions and interpret metabolic pathways. Candidate functions and enzymes require external experimental validation; enzyme expression, biochemical characterisation, fermentation and scale-up are outside our services.

  • MAG recovery, quality assessment and functional annotation
  • CAZyme analysis, functional gene mining and metabolic pathways
  • Traceable prioritisation of candidate microbes, functions and enzymes
Discuss your research

Clients & collaborators

Who We Work With

Universities & Research Institutes

Faculty, principal investigators, laboratories and research teams.

Researchers, PhD Scholars & Postdoctoral Researchers

Researchers requiring specialist sequencing analysis, statistics and interpretation.

Biotechnology & Sequencing Companies

Downstream bioinformatics, genomics, metagenomics and specialist analytical support.

Environmental Consultancies

Specialist microbial and ecological analysis for environmental baseline and monitoring projects.

NGOs & Conservation Organisations

Biodiversity, restoration, mangrove, seagrass, coastal and ecosystem programmes.

Blue Carbon & Coastal Restoration Programmes

Projects requiring microbial and ecological baseline and monitoring evidence.

Government & Public-Sector Organisations

Research, environmental and ecosystem-monitoring programmes.

Industrial Biotechnology & Bioprospecting Teams

Genome-resolved microbial-function and enzyme-discovery projects.

CSR & Sustainability Programmes

Organisations supporting restoration, biodiversity and environmental-monitoring initiatives.

A collaborative analysis partner

A different application or a new biological question?

Share your hypothesis, study design and analytical challenge. We will assess what the data can support and propose a study-specific approach.

Check Project Fit

BiomeLens provides bioinformatics and data analysis services. Laboratory sequencing, DNA/RNA extraction and wet-lab sample processing are not part of our services.