Metagenomics Sequencing

Comprehensive analysis of all genetic material in complex microbial communities using advanced whole-genome shotgun sequencing. Culture-independent, high-throughput, high-resolution — powered by NGS and AI-enhanced analytics.

What is Metagenomics?

Metagenomics is the direct study of the collective genetic material DNA recovered from an environmental or biological sample, without the need to culture individual organisms in a lab. Unlike traditional microbiology, which examines one microbe at a time, metagenomics captures the entire community of bacteria, archaea, fungi, viruses, and other microbes in a single sequencing run.

This approach is transforming our understanding of microbial ecosystems in the human gut, soil, water, and beyond, revealing who is there, what they are doing, and how they interact, all with unprecedented resolution and speed.

Empowering Your Research with MGBio Metagenomics

MGBIO drives innovation in Tech-Bio, offering tailored service packages, high-throughput data analytics, and web-based solutions for biological and health-related big data. We focus on next-generation tools, protocols, and products to enhance diagnostics, improve patient outcomes, and address region-specific challenges.

Based at the National Science & Technology Park (NSTP), NUST, Islamabad, MGBio is a leading Tech-Bio company offering genomic services, AI/ML model development, bioinformatics solutions, proteomics, molecular biology services, scientific content drafting, and professional training programs.

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Projects Completed
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Sequencing Approaches

Choose from three complementary sequencing approaches, each tailored to specific microbial targets and research objectives.

01

Bacteria & Archaea

16S rRNA Gene Sequencing

Targets conserved regions of the 16S rRNA gene to profile bacterial and archaeal communities. This method provides efficient, cost-effective taxonomic identification, typically at the genus to species level

02

Fungi

18S / ITS2 Sequencing

Focuses on the highly variable Internal Transcribed Spacer (ITS) regions, particularly ITS2, for accurate identification of fungal species. It enables discrimination between closely related fungal taxa in complex samples

03

All Microorganisms

Whole Genome Shotgun (WGS)

Sequences all genomic DNA present in a sample, providing comprehensive coverage of bacteria, archaea, fungi, viruses, and other microbes. This approach allows high-resolution analysis at species and strain level

Sequencing Platforms

Choose your platform based on read length, budget, and target. We also analyze datasets from any external vendor

Illumina

Best Quality
Short-read sequencing

16S

✓ Recommended

18S

✓ Recommended

WGS

✓ Recommended

PacBio

Best Value
Long-read sequencing

16S

✓ Recommended

18S

✓ Recommended

WGS

✓ Recommended

Nanopore

Budget
Ultra-long-read sequencing

16S

~ Conditional

18S

~ Conditional

WGS

✓ Recommended

BGI Genomics

Competitive
Short-read sequencing

16S

✓ Recommended

18S

✓ Recommended

WGS

✓ Recommended

10x Genomics

Specialized
Linked-read / single-cell

16S

✗ Not Rec.

18S

✗ Not Rec.

WGS

✗ Not Rec.

Sample Requirements

Ensure your DNA samples meet these thresholds for optimal sequencing results.

 

≥ 200ng

Min. DNA quantity

( Rec. > 400ng)

≥ 8ng / µL

Min. Concentration

≥ 15µL

Min. Volume

HMW

High Molecular Weight intact DNA required

Preparation Guidelines

  • Qubit or PicoGreen quantification only (dsDNA-specific)
  • Intact, high-quality genomic DNA — avoid degraded samples
  • Store at −80°C; ship on dry ice
  • Avoid freeze-thaw cycles
  • Accepted: gut, soil, water, environmental matrices

Metagenome Bioinformatics Analysis

Comprehensive analysis pipelines with three tiers of output reports. Essential, Beneficial, and Extraordinary, with integrated AI capabilities.

16S rRNA Analysis

Bacteria & Archaea

Microbes TargeteD

Bacteria & Archaea

Taxon Level
Genus / Species
Genomic Loci
16S rRNA gene
Purpose
Taxon Identification
Key Benefit: Enhanced sensitivity compared to V4-only assays, broader coverage of bacterial and archaeal diversity at lower cost.
ESSENTIAL

Core taxonomy & diversity reporting

  • Taxonomic classification
  • Alpha diversity metrics
  • Beta diversity analysis
  • Rarefaction curves

AI Capabilities

  • AI-enhanced classification,
  • AI-driven missing value imputation
BENEFICIAL

Essential + advanced comparative analyses

  • Rank-abundance curves
  • Differential abundance
  • PCA / PCoA / NMDS
  • Network analysis

AI Capabilities

  • ML biomarker discovery
  • SHAP interpretability
  • ML-enhanced longitudinal analysis (SysLM)
EXTRAORDINARY

Full suite including deep learning models

  • Hierarchical clustering
  • Heatmaps
  • PERMANOVA

AI Capabilities

  • PhyloSpec
  • MIOSTONE
  • TaxaPLN

Fungal Identification (ITS2)

Fungi

Microbes Targeted

Fungi

Taxon Level
Genus / Species
Genomic Loci
18S (ITS regions)
Purpose
Taxon Identification
Key Benefit: High ITS variability enables accurate species-level differentiation between closely related fungal taxa in complex samples.
ESSENTIAL

Core fungal taxonomy & diversity

  • Fungal taxonomic classification
  • Alpha diversity
  • Beta diversity
  • AI-enhanced fungal IDAI
  • AI rarefaction analysisAI 

AI Capabilities

  • Enhanced fungal ID
  • Rarefaction analysis

BENEFICIAL

Essential + advanced comparative analyses

  • Rank-abundance curves
  • Differential abundance
  • PCA / PCoA / NMDS
  • Network analysis
  • ML biomarker discoveryAI 

AI Capabilities

  • ML biomarker discovery
  • SHAP interpretability
  • ML- enhanced longitudinal analysis
EXTRAORDINARY

Full suite including AI predictive models

  • Hierarchical clustering
  • Heatmaps
  • PERMANOVA
  • Phylo-Spec fungi AI
  • TaxaPLN adaptation AI
  •  Predictive modeling AI

AI Capabilities

  •  Phylo-Spec (fungi adaptation)
  • TaxaPLN adaptation
  • Predictive modeling

Whole Genome Metagenomics

All Micro-organisms

Microbes Targeted

All Microorganisms
Taxon Level
Sub-species
Genomic Loci
Whole genomes
Purpose
Taxon ID & Variant Discovery
Key Benefit: Comprehensive profiling of >53,000 microbes, suitable for poorly annotated organisms where 16S fails to provide sufficient resolution.
ESSENTIAL

Full taxonomic & functional core

  • Taxonomic classification (all ranks)
  • Microbial abundance
  • KEGG / COG / CAZy annotation

AI Capabilities

  • Genomic foundation models
  • MAG reconstruction
BENEFICIAL

Essential + comparative genomics

  • Cross-sample comparison
  • Phylogenetic analysis
  • MAG binning

AI Capabilities

  • Antibiotic resistance prediction
  • Gene fitness prediction
EXTRAORDINARY

Full suite with deep learning models

  • Interactive taxonomy explorer
  • Custom visualizations

AI Capabilities

  • MMETHANE (interpretable host status prediction)
  • SIMBAGNN (abundance prediction)
  • MINERVA knowledge graph

What You Receive

Every project comes with a comprehensive set of outputs, designed to support your research from data generation through scientific publication

Methodology Report

Comprehensive summary of the methodologies applied, including sequencing workflow, quality control steps, and analytical approaches used throughout the project.

Raw Sequencing Data

High-throughput sequencing files delivered via secure server access, accompanied by detailed QC reports including demultiplexing and pre-processing statistics.

Full QC Report

Full QC metrics plus raw FASTQ files and a consolidated quality control summary report covering all sequencing runs.

Bioinformatics Results

Processed results including assembly, binning, taxonomic classification, and functional annotation, all presented as publication-ready figures.

FREE

Post-Project Support (Free)

Up to five 60-minute consultation sessions with project specialists to assist with data interpretation, manuscript support, and editorial processes.

paid ADD-ON

Scientific Writing

MGBio provides scientific writing services including manuscript drafting, grant proposals, and technical reports as an integral component of broader offerings

Ready to Decode Your Microbiome?

Our experts are ready to design a custom metagenomics project for your exact research needs. First consultation is free.

Example Metagenomics Reports

Real publication-quality figures generated by MGBio across all analysis tiers. Every project delivers outputs at this standard

Essential Report — 16S rRNA / WGS Analysis

MAG recovery distributions, species abundance quantiles, and community-level performance comparison

Essential
Panel A
MAG recovery distribution across assembler-binner combinations
Panel B
Species count per assembler across sample replicates (boxplot)
Panel C
Heatmap of species recovery across abundance quartiles

Beneficial Report — Strain-Resolved Metagenomics

Strain counts per tool, species-level strain bubble plots, and strain quality heatmaps across abundance classes

Beneficial
Panel A
Total strain counts recovered per assembler-binner tool
Panel B
Species-level strain recovery bubble plot across tools
Panel C
Strain quality heatmap (High/Medium/Low) per species and tool

Extraordinary Report — Species Recovery & Comparative Analysis

Species recovery status heatmap across tools and abundance-stratified recovery proportion analysis

Extraordinary
Panel A
Species recovery status heatmap (recovered vs not recovered) across all assembler-binner combinations
Panel B
Proportion of species recovered across High/Medium/Low abundance classes and species abundance range

Selected Publications

Our team’s published research underpins the analytical rigor and innovation behind our services.

2025

Qayyum H, Talib MS, Ali A, Kayani MUR. Evaluating the potential of assembler-binner combinations in recovering low-abundance and strain-resolved genomes from human metagenomes. Heliyon. 2025 Jan 14;11(2):e41938. doi: 10.1016/j.heliyon.2025.e41938.

2025

Qayyum H, Ishaq Z, Ali A, Kayani MUR, & Huang L. Genome-resolved metagenomics from short-read sequencing data in the era of artificial intelligence. Functional & Integrative Genomics, 25(124). doi: 10.1007/s10142-025-01625-x

2026

Qayyum H, Raziq MF, Manzoor H, Zaidi SSA, Ali A, Kayani MUR. Efficient De Novo Assembly and Recovery of Microbial Genomes from Complex Metagenomes Using a Reduced Set of k-mers. Interdisciplinary Sciences. 2026 Mar;18(1):151–164. doi: 10.1007/s12539-025-00722-6.

2026

Nasir MM, Qayyum H, Shuhui S, Ali A, Kayani MUR. MetaBolt: A computationally efficient pipeline for the rapid recovery of metagenome-assembled genomes. Computational Biology and Chemistry. 2026 Mar 11;123:109006. doi: 10.1016/j.compbiolchem.2026.109006.

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