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

Yakut microbiome in health and disease

21/11/2020

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

15/11/2020

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

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Non-conventional beer and cider microbiome uncovered

21/10/2020

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

09/06/2020

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

05/04/2020

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

15/02/2020

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

30/09/2019

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

26/09/2019

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

05/03/2019

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

11/01/2019

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!

07/11/2018

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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Finetuning 16S rRNA data analysis: V4 region

18/10/2018

New input data format - 16S rRNA V4 human gut - was added. It allows additional precision for V4 region of the gene, one of the most popular choices.

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