Microbiome Services

Technical Services

NEORABIO

Technical Services

Microbiome Services
Microbiome Services
Neorabio provides microbiome services designed to support systematic characterization of microbial communities and their functional potential across biological systems. High-throughput sequencing–based microbiome analysis has revealed that microbial composition, diversity, and gene content play critical roles in host physiology and environmental processes, a concept formally established through large-scale mapping efforts such as those conducted by the Human Microbiome Project Consortium (2012). By enabling culture-independent profiling of complex microbial communities, microbiome sequencing has become a foundational approach for investigating host–microbe and environment–microbe interactions in health, disease, and ecology.

About Service

Neorabio's microbiome services are built on an integrated platform combining standardized sample processing, next-generation sequencing, and controlled computational analysis. Depending on study objectives and required resolution, either 16S rRNA gene sequencing or shotgun metagenomic profiling is applied, with experimental workflows emphasizing sample integrity, contamination control, and library preparation consistency. In data processing and interpretation, Neorabio follows analytical principles aligned with community-validated microbiome workflows, in which sequence quality filtering, taxonomic assignment, and diversity estimation are treated as interdependent determinants of biological interpretability.

Our Scope

● 16S rRNA Gene Sequencing
● Taxonomic profiling of microbial community composition and diversity
● Shotgun Metagenomic Sequencing
● High-resolution analysis of microbial gene content and functional potential
● Community Diversity and Functional Analysis
● Quantitative assessment of alpha/beta diversity and pathway-level functional inference

Applications

● Characterization of microbial community structure across conditions or environments
● Analysis of microbial diversity and ecological patterns
● Investigation of functional potential and metabolic capacity of microbial communities
● Studies of host–microbe and environment–microbe interactions
● Integration of microbiome data with genomic, transcriptomic, or metabolomic analyses

Workfolw

Exploratory Consultation → Study Design & Sequencing Strategy Alignment → Microbiome Profiling & Data Quality Control → Taxonomic & Diversity Analysis → Functional Potential Interpretation → Final Report Delivery & Result Review

References

Human Microbiome Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature, 2012, 486(7402): 207–214. DOI: 10.1038/nature11234
Knight, R., et al. Best practices for analysing microbiomes. Nature Reviews Microbiology, 2018, 16(7): 410–422. DOI: 10.1038/s41579-018-0029-9
Lozupone, C., Knight, R. UniFrac: a new phylogenetic method for comparing microbial communities. Applied and Environmental Microbiology, 2005, 71(12): 8228–8235. DOI: 10.1128/AEM.71.12.8228-8235.2005
Franzosa, E. A., et al. Relating the metatranscriptome and metagenome of the human gut. Proceedings of the National Academy of Sciences USA, 2015, 112(22): E2329–E2338. DOI: 10.1073/pnas.1501746112

Inquire Center

Project execution at Neorabio emphasizes data traceability, analytical reproducibility, and transparent reporting across experimental and computational stages. To support robust assessment of microbial community structure, diversity metrics are interpreted using ecological concepts that have been widely adopted in microbiome research, including beta-diversity and ordination strategies. In parallel, functional potential inferred from metagenomic data is contextualized using pathway-based interpretation frameworks commonly applied in microbial systems biology. By anchoring deliverables to these established analytical conventions, Neorabio provides microbiome datasets and reports that can be reliably integrated into functional and multi-omics research.
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