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Metagenomics Sequencing

Metagenomics sequencing is a powerful technique that analyzes the collective genomic content of entire microbial communities directly from environmental samples, enabling the study of microbial diversity, gene functions, and interactions without the need for culturing, and finds applications in environmental science, medicine, agriculture, and biotechnology.

Work flow

workflow-image

Technical Parameters

Sequencing rangeWhole genome of communities
Sequencing strategyNGS PE150
Sequencing throughput6Gb
Data qualityFastq files, Q30≥85%
Data analysisStandard+advanced analysis
TATStandard: 25 WD

Applications

Environmental ScienceAntibiotic and Drug DiscoveryFood Safety and Fermentation Industry
Medical ResearchAgricultureBioenergy

Bioinformatics Analysis

1.Data Quality Control
2.Removal of Host Sequences (if host is present)
3.Metagenomic Assembly (Data assembly, assembly result evaluation)
4.Gene Prediction Analysis
5.Gene Abundance Analysis

  • 5.1 Statistical analysis of gene abundance
  • 5.2 Core-pan gene analysis
  • 5.3 Analysis of correlations between samples
  • 5.4 Analysis of differences in gene numbers

6.Species Annotation

  • 6.1 Species annotation table
  • 6.2 Multilevel species composition charts
  • 6.3 Statistics on species abundance
  • 6.4 Species composition bar charts
  • 6.5 Species clustering trees
  • 6.6 PCA (Principal Component Analysis)
  • 6.7 PCoA (Principal Coordinates Analysis)
  • 6.8 NMDS (Non-metric Multidimensional Scaling)
  • 6.9 UPGMA (Unweighted Pair Group Method with Arithmetic Mean) clustering tree
  • 6.10 Anosim analysis

7.Functional Annotation

  • 7.1 GO (Gene Ontology)
  • 7.2 KEGG (Kyoto Encyclopedia of Genes and Genomes)
  • 7.3 COG (Clusters of Orthologous Groups)
  • 7.4 CAZy (Carbohydrate-Active enZYmes)
  • 7.5 PHI (Pathogen Host Interactions)
  • 7.6 VFDB (Virulence Factor Database)
  • 7.7 CARD (Comprehensive Antibiotic Resistance Database)

8.Species Difference Analysis

  • 8.1 Metastats analysis
  • 8.2 Lefse analysis (Linear Discriminant Analysis Effect Size)

Advantages

yesCulture-Independence
yesComprehensive Microbial Profiling
yesFunctional Insights

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