METAGENOMICS ANALYSIS

AI-powered bioinformatics analysis

/

/

METAGENOMICS ANALYSIS

Decode Microbial Communities from Complex Sequencing Data

Microbial communities play essential roles in human health, agriculture, environmental ecosystems, food production, and industrial biotechnology. Advances in next-generation sequencing (NGS) enable researchers to explore these complex communities without the need for traditional culture-based methods.

Bioventum provides comprehensive metagenomics and microbiome analysis services that transform sequencing data into meaningful ecological and biological insights. From microbial community profiling to diversity analysis and functional interpretation, our reproducible bioinformatics workflows support high-quality research across a wide range of life science disciplines.

Bioventum provides comprehensive metagenomics and microbiome analysis services that transform sequencing data into meaningful ecological and biological insights. From microbial community profiling to diversity analysis and functional interpretation, our reproducible bioinformatics workflows support high-quality research across a wide range of life science disciplines.

Whether you're investigating host–microbiome interactions, environmental microbial diversity, agricultural microbiomes, disease-associated microbial communities, or environmental DNA (eDNA), we help uncover biologically meaningful patterns that support publication-ready research.

/

/

METAGENOMICS ANALYSIS

What This Research Solution Helps You Achieve

/001

Characterize Microbial Communities

Characterize Microbial Communities

Identify microorganisms present in complex biological or environmental samples and determine their relative abundance.

/002

Compare Microbial Diversity

Compare Microbial Diversity

Evaluate differences in microbial composition and diversity across experimental groups, environments, or treatments.

Evaluate differences in microbial composition and diversity across experimental groups, environments,

or treatments.

/003

Identify Differentially Abundant Taxa

Identify Differentially Abundant Taxa

Discover microbial taxa significantly associated with specific biological conditions or environmental factors.

/004

Understand Microbial Ecology

Understand Microbial Ecology

Reveal ecological relationships, community structure, and microbial interactions that shape biological systems.

/005

Generate Publication-Ready Results

Generate Publication-Ready Results

Receive reproducible analyses, clear visualizations, and comprehensive reports suitable for scientific publications.

Included Capabilities

Included Capabilities

Amplicon Sequencing Analysis

Alpha Diversity Analysis

Beta Diversity Analysis

Taxonomic Profiling

Differential Abundance Analysis

Environmental DNA (eDNA) Analysis

Optional Advanced Analyses

Analyze targeted marker gene sequencing datasets such as 16S rRNA, ITS, or 18S rRNA to profile microbial communities.

Typical Outputs

  • Feature (ASV/OTU) Table

  • Taxonomic Classification

  • Relative Abundance Profiles

  • Taxonomic Bar Plots

  • Rarefaction Curves

  • Sequencing Summary

Amplicon Sequencing Analysis

Alpha Diversity Analysis

Beta Diversity Analysis

Taxonomic Profiling

Differential Abundance Analysis

Environmental DNA (eDNA) Analysis

Optional Advanced Analyses

Analyze targeted marker gene sequencing datasets such as 16S rRNA, ITS, or 18S rRNA to profile microbial communities.

Typical Outputs

  • Feature (ASV/OTU) Table

  • Taxonomic Classification

  • Relative Abundance Profiles

  • Taxonomic Bar Plots

  • Rarefaction Curves

  • Sequencing Summary

Tools

Our metagenomics workflows utilize widely adopted bioinformatics software and reproducible computational pipelines to ensure robust and reliable microbial community analysis.

  • QIIME 2
  • DADA2
  • VSEARCH
  • Cutadapt
  • Kraken2
  • Bracken
  • MetaPhlAn
  • HUMAnN
  • SILVA Database
  • Greengenes
  • UNITE
  • phyloseq
  • vegan
  • R
  • Python
  • QIIME 2
  • DADA2
  • VSEARCH
  • Cutadapt
  • Kraken2
  • Bracken
  • MetaPhlAn
  • HUMAnN
  • SILVA Database
  • Greengenes
  • UNITE
  • phyloseq
  • vegan
  • R
  • Python

Why It Matters

/001

Microbial communities influence nearly every biological system, from human health and agriculture to environmental sustainability and industrial biotechnology. While next-generation sequencing provides unprecedented access to these complex ecosystems, transforming raw sequencing data into biologically meaningful conclusions requires rigorous computational analysis and ecological interpretation.

/002

Bioventum combines reproducible bioinformatics workflows with expertise in microbial ecology to help researchers characterize microbial communities, evaluate diversity, identify key taxa, and interpret ecological patterns. Our analyses generate publication-quality results that support robust scientific conclusions across diverse microbiome research applications.

/003

Whether your study focuses on host-associated microbiomes, environmental ecosystems, agricultural soils, aquatic environments, food microbiology, or biodiversity monitoring through eDNA, our metagenomics services provide reliable insights that advance your research.

Ready to Explore Your Microbial Communities?

Book a Free Research Strategy Session and discuss your project with our team.

Book Now