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.
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.
Discover associations of taxonomic and functional microbiota composition with clinical and other factors. Statistical tests are described in details providing all information about parameters.
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.
Food-omics: from dairy to beer03/06/2019
We are now presenting our pilot results on the analysis of yeast microbiome of craft beer at the "Emerging applications of microbes" conference at Leuven. Check out the reports online at https://biota.knomics.ru/molgenbrew
Dairy products with probiotics improve gut microbiome balance05/03/2019
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.
ITS amplicon format support is enabled11/01/2019
Knomics-Biota now allows to analyze fungal metagenomic data based on amplicon sequencing of ITS (internally transcribed region).
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.
Finetuning 16S rRNA data analysis: V4 region18/10/2018
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.