Our metagenomics platform aims to study novel genes, microbial pathway, microbial diversity, evolution, functional annotations, and correlation analysis by utilizing the next/third generation sequencing technology. Our scientists utilize this platform to obtain fast, accurate, and cost-effective results.
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Our excellent platform enables an in-depth and veritable analysis of complex microbial communities based on next-generation sequencing (NGS) and and long-read sequencing (PacBio SMRT and Nanopore instruments). While NGS can achieve high base coverage and accuracy by continuously updating the sequencing reagents and algorithm and tools, PacBio SMRT sequencing and Nanopore sequencing can generates long and accurate reads which overcome many previous technical bottlenecks for NGS, such as repetitive DNA-related assembly difficulties. Based on our metagenomics analysis platform, we perform metagenomic shotgun sequencing, long-read metagenomic sequencing, and viral metagenomics, allowing the research of entire communities of microorganisms without cultivation. In addition to sequence-based metagenomics, we also provide functional metagenomics to identify genes coding for carbohydrate-active enzyme, resistance genes, disease-causing genes, etc.
Metagenomics can detect soil, faeces, intestine tract, oral cavity, skin, and other samples. It can be used for microflora analysis, microbial genetic diversity analysis, disease research, biotechnological and pharmaceutical applications, etc. Metagenomics is also used to compare differentially expressed genes with different functional pathways in different environments. It reveals the adaptive mechanism of microorganisms under different environmental stress, and explores the interaction of them.
|Data QC||Removal of low-quality sequences and adapter sequences|
|Microbial diversity analysis||Sequence alignment, species determination, microbial diversity analysis (α and β diversity analysis, meta-analysis)|
|Function annotations||KEGG, eggNOG|
|CAZy||Prediction of genes coding for carbohydrate-active enzyme and correlation analysis|
|CARD||Prediction of resistance genes and correlation analysis|
|CAG (co-abundance genes)/MLG (linkage groups) analysis||
Study the association between disease and microbial strains
CAG, co-abundance genes group
MLG, metagenomic linkage groups
|CNV||Correlation analysis between microbial copy number variation (CNV) and disease|
1.8 < OD260/280 < 2.0, OD260/230 ≥ 1.8, no degradation or contamination.
Illumina platform: DNA amount ≥ 3 μg, concentration ≥ 30 ng/μL, volume ≥ 30 μL
PacBio platform: (20 Kb) DNA amount ≥ 5 μg
Deliverables: raw sequencing data (FASTQ), trimmed and stitched sequences (FASTA), quality-control dashboard, statistic data, and your designated bioinformatics report.