Optimization of the data collection and data handling INFRASTRUCTURE for microbiomics
The we aim to unify and harmonize clinical, laboratory and bioinformatics approaches for microbiome research.
Microbiome research consists of many different steps ranging from sampling to data analyses. Currently, there is a high heterogeneity of study protocols, analyses and data formats covering these steps which hinders collaboration and leads to inefficiency and an unnecessary workload.
Hence, we aim to unify and harmonize clinical, laboratory and bioinformatics approaches for microbiome research. A standard operating procedure (SOP) will be developed for every common step and made available to the community, including user-friendly SOPs for FAIR microbiome data and metadata storage.
A database for in-depth analyses
Further, a database to search and access the standardized data and metadata for in-depth analyses will be developed. Developers and experts from different partners will collaborate to design and implement these SOPs.
Internships as described in WP1 will be used to further enhance these developments and to transfer expertise among the different RPA partners.
The goal of this WP is to develop a widely used set of workflows for microbiomics.
Observational research: MICROBIOME-HOST PHENOTYPE ASSOCIATIONS
Translational research: MICROBIOME MODULATION