Mining anaerobic digestion data with Deep-omics, a new digital environmental engineering platform for omics data
Résumé
Taking advantage of high throughput meta-omics approaches to improve anaerobic digester design and management is a major challenge. Considering the variety of anaerobic digesters worldwide, achieving a critical mass of data is required to extract relevant and robust information thanks to meta-analyses. We present new user-friendly software tools developed to help gathering and mining such meta-omics data. Deep-omics (Digital environmental engineering platform for omics data) is a data warehouse dedicated to environmental biotechnologies. Its main objectives are to promote the sharing of high quality data and associated metadata, especially regarding operating conditions and process design; to offer the possibility to launch classical bioinformatics analyses on selected data; and to perform meta-analysis. Easy16S is an interactive web server tool for statistical analysis and visualisation of meta-omics data (http://genome.jouy.inra.fr/shiny/easy16S/). By conducting a meta-analysis of experimental data related to the inhibition of anaerobic digestion, we illustrate the potential of this user-friendly framework for data mining.
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