Bioinformatics & Statistics for Soil and Plant Microbiome

    Tailored bioinformatics and statistical analysis for soil and plant microbiome datasets-whether you already have sequencing data or need an analysis partner embedded in a larger project.

    Migle Gabrielaite

    This page has been reviewed for scientific accuracy by Migle Gabrielaite, PhD in Bioinformatics. Last updated: March 2026.

    View her published research on Google Scholar →
    AFBI – Agri-Food & Biosciences InstituteBio Green PlanetGenoLineJohns Hopkins MedicineKing's College LondonUNIVERSITYHospital of AarhusUnison MedicinesInstitute of Marine ResearchOrganic DenmarkAlexandria UniversityEcoTreeProvioticSolumUniversity of SheffieldValent BioSciencesLoughborough UniversityUniversity of AarhusSEGESInnovationAFBI – Agri-Food & Biosciences InstituteBio Green PlanetGenoLineJohns Hopkins MedicineKing's College LondonUNIVERSITYHospital of AarhusUnison MedicinesInstitute of Marine ResearchOrganic DenmarkAlexandria UniversityEcoTreeProvioticSolumUniversity of SheffieldValent BioSciencesLoughborough UniversityUniversity of AarhusSEGESInnovation

    Need help with existing data?

    Already have sequencing data? We turn raw files into structured results you can defend and act on-allways aligned with your study objectives.

    Fit-for-purpose statistics

    Microbiome data is complex and easy to misinterpret. We apply methods that match your study design and decision context-so conclusions are robust, not overstated.

    Embedded analysis partner

    We support single projects or full portfolios with consistent analysis frameworks. You receive structured reports plus full underlying outputs-delivered for reuse, comparison, and documentation.

    Sequencing is the easy part

    Microbiome sequencing is widely accessible. But many teams experience that the return on investment from microbiome projects is lower than expected.

    The bottleneck is rarely the sequencing itself-it's turning the data into results that are robust, comparable, and clearly communicated-especially when you have multiple sites, timepoints, treatments, or confounders (soil type, season, management, etc.).

    Many teams get stuck in one of these places:

    • Too many features and too little structure (tables that are hard to interpret or defend)
    • Methods that don't match the design (leading to unclear or misleading conclusions)
    • Results that can't be reused (figures and tables not packaged for internal reporting or portfolio decisions)

    Biomcare solves this by combining tailored pipelines with fit-for-purpose statistics and a reporting structure built for real-world use-so your data supports decisions, documentation, and cross-project comparison, not just publication-ready visuals.

    Who this is for

    Companies and R&D teams

    You need credible, traceable analysis outputs to support decisions, documentation, and partner communication- without hiring a bioinformatics team.

    Advisors, trial operators, and service providers

    You manage multi-site programs and need consistent analysis across many samples, with outputs that clients can understand and reuse. Independent analysis adds confidence when results are used in client-facing reports or performance discussions.

    Study teams running larger programs

    You're planning or running field trials and need the analysis layer handled end-to-end - from design alignment to final reporting. See also our Study & Trial Support services.

    How it works

    1

    Scope & data intake

    We align on the decision questions, study design, and available metadata (sites, treatments, timepoints, batches). If you already have data, we review formats and QC requirements.

    2

    Processing & profiling

    We process raw data (amplicon or shotgun) or work from your existing feature tables-using pipelines adapted to sample type and goal.

    3

    Statistics & comparison framework

    We run the analyses needed to answer your questions (e.g., diversity, community shifts, differential abundance, multivariate models, confounder handling).

    4

    Reporting & handover

    You receive a structured report plus reusable figures/tables, with a clear explanation of what was tested and what the results mean in the context of your design.

    What you get

    1

    Core outputs (typical)

    QC summaries and data readiness checks Microbial composition and diversity summaries Group comparisons and effect estimates aligned to your design Key drivers / multivariate patterns (when relevant) Reusable figures and tables packaged for internal slides and documents

    2

    Full data ownership

    You own your data - always. Raw sequencing files, processed data, feature tables, figures, and protocol details are all delivered to your secure project workspace, ready for reuse and documentation.

    How our clients use this service

    You have shotgun or amplicon data and need analysis + statistics to compare treatments, sites, or seasons

    You have wet lab capacity in-house or through a partner, but need to outsource the bioinformatics and statistics.

    You want to standardize analysis across a multi-site monitoring program (consistent outputs each round)

    You need a clean set of figures/tables for internal reporting or partner sharing

    You're running a broader project and want Biomcare to deliver the analytics layer end-to-end

    Common questions

    Why Biomcare

    Many pipelines can generate outputs. What matters is whether the analysis is aligned to your study design, whether assumptions are handled correctly, and whether results are structured for real decisions-not just statistical completeness.

    Design-aligned pipelines

    Built and maintained in-house, adapted to sample type, study structure, and decision context

    Fit-for-purpose biostatistics

    Methods matched to your experimental design - so conclusions are robust, defensible, and not overstated.

    Structured, reusable reporting

    Clear organisation, individual figure files, and outputs built for internal reporting, partner sharing, and portfolio comparison

    Independent analytical perspective

    Objective interpretation that strengthens credibility in cross-team discussions and external review

    Ongoing sparring when needed

    Direct access to specialists-not just file delivery

    Need analysis support?

    Tell us about your dataset and objectives-we'll propose an approach.

    Typically responds within 1 business day

    Want us to analyze your microbiome dataset?

    Send a short description of your sample type, design (groups/timepoints/sites), and what you need to conclude. We'll propose an analysis plan and deliverables that fit your use case.

    Biomcare team member

    Quick Contact

    We typically respond within 24 hours on business days.

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