Microbiome Profiling Service
Microbiome Profiling Service
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Microbiome Profiling Service

Microbiome Profiling

Taxonomic and functional characterization of microbial communities from human, animal.

  • End-to-end pipeline from DNA extraction to multi-omics integration
  • Taxonomic classification with strain-level resolution when scoped
  • Functional profiling of metabolic pathways and gene families
  • Statistical analysis for differential abundance and diversity metrics
  • Customizable project scope tailored to your research question

Why choose our microbiome profiling service?

We deliver actionable insights from complex microbial community data through robust bioinformatics workflows and transparent reporting.

  • Project-specific design to match sample type (stool, soil, tissue, etc.)
  • QC metrics at every step—raw reads, mapping rates, rarefaction curves
  • Integration with host transcriptomics or metabolomics when scoped
  • Clear reports with interactive visualizations and raw data delivery
  • Experienced bioinformatics team to discuss results and next steps
Taxonomic
Functional
Reproducible
Analytical Approach

Rigorous, customizable profiling pipeline

Our service combines industry-standard bioinformatics tools with flexible project scoping to address diverse microbiome research questions.

Core Profiling Pipeline

From raw sequencing data to taxonomic and functional profiles, our pipeline includes quality filtering, ASV/OTU picking or metagenomic alignment, and annotation against curated databases.

  • Adapter trimming and quality control with multiQC summaries
  • Taxonomic classification using reference-based and reference-free methods (e.g., 16S rRNA or shotgun metagenomics)
  • Functional annotation via pathway databases (KEGG, MetaCyc) and gene family profiling
  • Alpha and beta diversity calculations with rarefaction support

Multi-Omics Integration

When combined with host transcriptomics, metabolomics, or proteomics, our analysis can uncover cross-kingdom interactions and mechanistic links between microbiome composition and host phenotypes.

  • Joint analysis of microbiome and host gene expression data
  • Correlation networks between microbial taxa/genes and metabolite levels
  • Pathway enrichment to identify co-regulated metabolic modules
  • Custom project scoping to integrate additional omics layers

Quality Assurance

Every project includes raw read QC, contamination screening, batch effect assessment (when applicable), and reproducibility checks to ensure reliable results.

Statistical Rigor

We apply multiple testing correction (Benjamini-Hochberg), confounder adjustment, and appropriate statistical tests (DESeq2, ANCOM-BC, PERMANOVA) based on data distribution.

Biological Context

Results are interpreted in the context of known microbial ecology, host physiology, and disease mechanisms, with interactive visualizations to aid exploration.

Deliverables

What you receive

All projects include a detailed report, raw data files, and interactive results for downstream use.

Data Deliverables

  • Quality-controlled FASTQ files and mapping statistics
  • Feature tables (ASV/OTU count table, gene abundance table) in BIOM and CSV formats
  • Taxonomic abundance profiles at multiple levels (phylum to genus/species)
  • Functional pathway abundance estimates
  • Diversity metrics and ordination coordinates
  • Differential abundance results with effect sizes and adjusted p-values

Reporting & Support

  • Comprehensive multi-section report with methods, results, and biological interpretation
  • Interactive HTML dashboards for exploratory analysis (e.g., phyloseq, Shiny-based)
  • Named scientific contact for project-specific questions and milestone review
  • Optional code and parameter files for reproducibility
  • Post-delivery consultation call to discuss findings
Service Scope

Flexible parameters, scoped per project

Each project is customized to your study design, sample type, and research objectives.

ParameterTypical Project Scope
Sample typeStool, soil, water, tissue, swab, or other complex microbial communities; DNA/RNA extraction as scoped
Sequencing amplicon / shotgun16S rRNA (V1-V9 regions), ITS, or shotgun metagenomics (read length and depth as scoped)
Bioinformatics pipelineQuality filtering (FastQC, MultiQC), ASV/OTU picking (DADA2, QIIME 2), or metagenomic alignment (Kraken2, MetaPhlAn, HUMAnN)
Functional analysisKEGG, MetaCyc, CAZy, or custom gene-family profiling; pathway enrichment
Statistical analysisAlpha/beta diversity, differential abundance (DESeq2, ANCOM-BC, edgeR), PERMANOVA, correlation networks
Multi-omics integrationJoint analysis with host transcriptomics, metabolomics, or proteomics when separately sequenced
Data delivery formatRAW FASTQ, BIOM, CSV, R objects; optional interactive dashboards
Project managementNamed scientific contact; milestone review calls; email response within 1 business day
Workflow

From sample to insight

A streamlined, step-by-step process that adapts to your project scope.

Project scoping & sample QC

We review your study design, sample metadata, and research goals to define the optimal sequencing and analysis strategy. Sample quality (DNA integrity, concentration) is assessed prior to library preparation.

Raw data processing

Raw FASTQ files undergo adapter trimming, quality filtering, and contamination screening (PhiX, host genome removal). MultiQC summary reports are generated for transparency.

Taxonomic & functional profiling

Amplicon sequences are clustered into ASVs/OTUs; shotgun reads are aligned to reference databases for taxonomic classification and functional gene/pathway abundance estimation.

Statistical & comparative analysis

We compute alpha/beta diversity, perform differential abundance testing with multiple hypothesis correction, and generate ordination plots. Batch effect correction is applied when needed.

Reporting & data delivery

A comprehensive report with methods, results, and biological interpretation is provided. All raw and processed data files are delivered, along with an optional interactive dashboard.

Applications

Research areas supported

Our microbiome profiling service is designed for a wide range of research contexts, from basic ecology to translational medicine.

Understand host-microbe interactions in gastrointestinal health

Characterize the composition and functional potential of the gut microbiota in relation to diet, disease, or therapeutic interventions. Suitable for IBD, metabolic disorders, and cancer studies.

  • Taxonomic shifts in inflammatory bowel disease and colorectal cancer
  • Functional pathway alterations in obesity and diabetes
  • Impact of probiotics, prebiotics, or fecal microbiota transplantation

Profile microbial communities in soil, water, and plant-associated samples

Assess microbial diversity and functional capacity in environmental samples to support bioremediation, crop health, and ecosystem monitoring.

  • Root microbiome dynamics under different fertilization regimes
  • Biodegradation potential in contaminated sites
  • Microbial community response to climate variables

Identify microbiome-based biomarkers and therapeutic targets

Leverage multi-omics integration to discover microbial signatures associated with drug response, disease prognosis, or patient stratification.

  • Microbiome correlates of immunotherapy efficacy
  • Strain-level markers for early disease detection
  • Host-microbiome metabolic crosstalk in pancreatic cancer
Frequently Asked Questions

Common questions about microbiome profiling

Get answers to typical queries about our service and how it fits your research.

  • We accept a wide range of samples including human or animal stool, tissue biopsies, soil, water, and swabs. The specific extraction protocol is scoped per project to match your sample matrix.

  • Yes, when host RNA-seq data are provided, we can perform integrated analysis to correlate microbial taxa and functions with host gene expression patterns. This is scoped during the initial project discussion.

  • When samples are processed across multiple sequencing runs, we apply appropriate batch correction methods (e.g., ComBat, RUVseq) and include batch covariates in statistical models to minimize technical variation.

  • For 16S amplicon data, classification typically reaches genus level with high confidence; genus and species-level assignment depends on reference database coverage. Shotgun metagenomics allows strain-level classification when sufficient coverage is achieved.

  • Project timelines are scoped during the consultation based on sample number, sequencing depth, and analysis complexity. We will provide an estimated schedule in your project proposal.

  • Yes, all raw FASTQ files are delivered along with processed data (count tables, abundance profiles) to ensure full data ownership and transparency.

Scientific Literature

References

  1. Shanahan F, Ghosh TS, O'Toole PW. The Healthy Microbiome-What Is the Definition of a Healthy Gut Microbiome?. Gastroenterology. 2021;160(2):483-494. View on PubMed
  2. Zhou T, Zhao F. AI-empowered human microbiome research. Gut. 2026;75(7):1432-1446. View on PubMed
  3. Navarro Triviño FJ, Velasco Amador JP, Rivera Ruiz I. Seborrheic Dermatitis Revisited: Pathophysiology, Diagnosis, and Emerging Therapies-A Narrative Review. Biomedicines. 2025;13(10). View on PubMed
  4. Chen H, Tong T, Lu SY, et al. Urea cycle activation triggered by host-microbiota maladaptation driving colorectal tumorigenesis. Cell metabolism. 2023;35(4):651-666.e7. View on PubMed
  5. Cao YG, Bae S, Villarreal J, et al. Faecalibaculum rodentium remodels retinoic acid signaling to govern eosinophil-dependent intestinal epithelial homeostasis. Cell host & microbe. 2022;30(9):1295-1310.e8. View on PubMed
  6. Espinosa MA, Rivera Gutierrez RJ, Villamarin J, et al. Precision Medicine for Obesity Treatment. Journal of the Endocrine Society. 2025;9(9):bvaf102. View on PubMed

Please kindly note that our products and services are for research use only.