Knomics-Biota - a system for exploratory analysis of human gut microbiota data

Daria Efimova,Ekaterina Filippova,Vera Odintsova,Nikita Dovidchenko,Evgenii Levin,Anatoly Vasilyev,Maria Pashkova,Ilya Altukhov,Anna Popenko,Dmitry Alexeev,Viktoriya Voroshilova,Robert Loshkarev,Yury Pekov,Tatiana Shashkova,Alexander Tyakht,Natalya Klimenko,Sergei Slavskii,Anna Elizarova

doi:10.1186/s13040-018-0187-3

Abstract

BackgroundMetagenomic surveys of human microbiota are becoming increasingly widespread in academic research as well as in food and pharmaceutical industries and clinical context. Intuitive tools for investigating experimental data are of high interest to researchers.ResultsKnomics-Biota is a web-based resource for exploratory analysis of human gut metagenomes. Users can generate and share analytical reports corresponding to common experimental schemes (like case-control study or paired comparison). Interactive visualizations and statistical analysis are provided in association with the external factors and in the context of thousands of publicly available datasets arranged into thematic collections. The web-service is available at https://biota.knomics.ru.ConclusionsKnomics-Biota web service is a comprehensive tool for interactive metagenomic data analysis.

Highlights

Metagenomic surveys of human microbiota are becoming increasingly widespread in academic research as well as in food and pharmaceutical industries and clinical context
In order to optimize the translation of metagenomic surveys’ results into biomedically important knowledge and advance the global progress in collaborative microbiota research, we developed Knomics-Biota, a web-service for metagenomic data analysis that allows users without advanced skills in bioinformatics and software
After automatic analysis is complete in the cloud, a user is provided with online reports describing all steps of metagenomic analysis - from data quality check and composition profiles to statistical hypothesis testing

Summary

Results

Knomics-Biota is a web-based resource for exploratory analysis of human gut metagenomes. Users can generate and share analytical reports corresponding to common experimental schemes (like case-control study or paired comparison). Interactive visualizations and statistical analysis are provided in association with the external factors and in the context of thousands of publicly available datasets arranged into thematic collections.

Background

Results and discussion

External datasets availability

Conclusions