knomics / biota

Online service for exploratory analysis
of microbiome sequencing data

Demo Register Login

Knomics-biota web-service is currently available under beta-testing conditions: all the features are available for free, though we kindly ask you to give us a feedback on any bugs or usability problems you meet.

Full-cycle analytical pipeline

Turn your “raw” data into analytical reports in a few clicks. Register and upload the metagenomic data in FASTQ format. Microbiota composition is automatically computed in the cloud. These primary results can then be explored using several scenarios of visual and statistical analysis.

Interactive exploration

Yield novel biological hypotheses using comprehensive visualization modules in your browser. Various types of plots are provided allowing to vary parameters of display without repeating the computations.

Statistical analysis

Discover associations of taxonomic and functional microbiota composition with clinical and other factors. Statistical tests are described in details providing all information about parameters.

World context

Compare your data with thousands of annotated published metagenomes. For this meta-analysis we provide a curated database of thousands of samples from many studies.

Last events

Antiparasitic treatment affects gut microbiome


The relations between human immunity, parasite infection and gut microbiome balance are complex. The Knomics-Biota was applied to investigate how the anthelmintic treatment against Opisthorchis felineus partially reverses the dysbiosis linked to the infection.

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Yakut microbiome in health and disease


In a study investigating the microbiome of indigenous populations and its links to health, we explored a group from the Yakut population including patients with Viliuisk encephalomyelitis.

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Microbiome analysis services


If you are interested in analyzing microbiome samples from DNA extraction to sequencing and data analysis, please contact us at

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Non-conventional beer and cider microbiome uncovered


It's not just about the Saccharomyces cerevisiae: our findings about the complex bacterial and yeast microbiomes in these spontaneous fermentation beverages are now published.

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Links of aromatic microbial metabolites with gut dysbiosis in critically ill patients


Our platform was used to investigate the temporal dynamics of gut microbiome in ICU patients and identify the correlations of bacterial levels with concentrations of specific serum and fecal metabolites.

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Microbiome-Metabolome Signature of Acute Kidney Injury


Scientists from Moscow State University in collaboration with our team investigated how gut microbes are linked to ischemic kidney injury and host metabolome. The article with Knomics-Biota reports is published in Metabolites journal.

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Moscow Subway microbiome


Our article about 16S rRNA survey is now published in Computational and Structural Biotechnology Journal. The interactive reports of all samples are available online in Knomics-Biota.

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System update - September 2019


We are pleased to announce Knomics-Biota update: new features and improvements for your microbiome analytics needs!

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Knomics presented at Nutrients-2019


We presented posters on integrated data analysis of human gut microbiome and food microbial consortium in Knomics-Biota at "Nutrients 2019 – Nutritional Advances in the Prevention and Management of Chronic Disease" conference held at Barcelona on September 25-27, 2019.

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Dairy products with probiotics improve gut microbiome balance


The results of a metagenomic study by Knomics investigating the effect of fortified yogurts intake on gut microbiome are published in Nutrients journal with online interactive reports available in Knomics-Biota.

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ITS amplicon format support is enabled


Knomics-Biota now allows to analyze fungal metagenomic data based on amplicon sequencing of ITS (internally transcribed region).

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Knomics-Biota article has been published!


We are happy to announce that an article "Knomics-Biota - a system for exploratory analysis of human gut microbiota data" has been published in BioData Mining journal.

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