Comprehensive and user-friendly 16S/ITS metagenomic analysis tool for researchers
Metagenome@KIN is a Windows-based software tool designed for 16S rRNA and ITS metagenomic analysis. It provides an all-in-one environment for taxonomic classification, statistical analysis, and visualization — optimized for ease of use by life science researchers.
Key Features:
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Supports both bacterial and fungal metagenomic analysis
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BLAST or RDP Classifier outputs can be imported directly via drag-and-drop
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Taxonomy assignment per hierarchical level, with automatic classification following standard taxonomy rules
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Flexible filtering settings based on BLAST mismatch bases and gaps
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Filtering by RDP confidence values supported
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OTU clustering function and classification based on taxonomy databases
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Automatic graph generation: donut charts, pie charts, bar charts by taxonomy level
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Summarized read counts per taxonomy level and per sample
Statistical Analysis Capabilities:
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SOM (Self-Organizing Maps)
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PCA (Principal Component Analysis)
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PCoA (Principal Coordinates Analysis)
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Hierarchical clustering
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Alpha diversity calculations
Output & Accessibility:
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Export results in tab-delimited text format
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View results via HTML report format — no software required
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Intuitive GUI interface — no command line or coding needed
Additional Tools & Data:
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Customers receive free companion tools to run BLAST and RDP Classifier
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Includes curated 16S rRNA database (custom databases available upon request)
Metagenome@KIN is trusted by microbiome researchers across academia and industry for its combination of precision, flexibility, and usability — making complex microbiome analytics accessible to non-specialists.
Desktop Shotgun Metagenome Analysis Tool for Deep Microbial Profiling
WHMetagenome@KIN is a user-friendly Windows application designed for whole metagenome shotgun sequencing data from Illumina platforms. It enables comprehensive microbial community analysis and visualization—ideal for research in gut, skin, oral, and environmental microbiomes.
Key Features:
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Processes shotgun sequence data to perform microbial community profiling.
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Supports sample clustering and distance-based analysis, including PCoA and nMDS.
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Simple drag-and-drop interface: install with a standard installer, then import your data with ease.
Local & Secure Workflow::
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Analysis is conducted entirely offline—no internet access required.
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All required reference data and tools are installed locally, ensuring data privacy.
WHMetagenome@KIN empowers researchers with a robust, secure, and accessible solution for shotgun metagenomic analysis, opening the door to deeper insights into microbial ecosystems.
Browser-Based Microbiome Statistical Analysis Platform
@KIN Web Stat is a web-based platform that enables intuitive and advanced statistical analysis of microbiome data — no coding or software installation required.
Available Features:
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α-Diversity Analysis (Kruskal–Wallis Test)
Compare microbial diversity within samples to assess richness and evenness. -
β-Diversity Analysis (PERMANOVA)
Evaluate differences in microbial composition between sample groups. -
LEfSe (Linear Discriminant Analysis Effect Size)
Identify statistically significant microbial biomarkers across conditions. -
PICRUSt2
Predict functional gene content from 16S rRNA data for metagenomic insight. -
Microbiome Expert AI
A domain-specialized LLM chatbot trained on millions of microbiology-related publications. It provides literature-based answers with references (PMIDs) for scientific evidence.
How It Works:
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Upload your result files (e.g., from Metagenome@KIN, S-KIN, or COMA).
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Select the analysis options via the intuitive interface.
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View results instantly in-browser, including plots, tables, and summaries.
@KIN Web Stat empowers researchers with powerful tools to extract insight from microbiome data — all within a secure and user-friendly web environment.
