Data management, bioinformatics and statistics
Introduction
The INF project is the central data management and analysis project of miTarget. Four important demands (work packages 1-4) will be addressed:
WP1 – Data Management: an overall data management platform (iRODS) for metagenome data to keep all data organized, documented and searchable
WP2 – Bioinformatic Workflows: scalable and reproducible bioinformatic software pipelines (Nextflow)for metagenome analyses
WP3 – Hardware-accelerated Implementations (FPGA and GPU technology): Re-implementation of the gold-standard epistasis module of the well-known and established PLINK software suite for genome-wide G x G epistasis detection across genomes (intergenomic epistasis).
WP4 – Statistics and Method Development: customized statistical methods to address project-specific research questions related to the microbiome as a therapeutic target arising from the individual subprojects.
Aims
We here aim
- To manage an overall data management platform (iRODS) for metagenome data to keep all data organized, documented and searchable
- To develop scalable and reproducible bioinformatic software pipelines (Nextflow) for metagenome analyses
- To customize statistical methods to address project-specific research questions related to the microbiome as a therapeutic target arising from the individual subprojects.
Researchers
Other important members of INF
- Dr. Sandra Freitag-Wolf
- Dr. Thomas Möbius, postdoc (statistician)
- Dr. Marc Höppner
- Dr. Jan Kässens
- Dr. Malte Rühlemann