Data post-evaluation

Data post-evaluation

We work in facilitating new metadata using network approaches and graph theory with the goal of direct integration as automatic evaluation in the analytical pipeline for low and high throughput. The data fusion involves polyOmics information (sequencing, proteome, transcriptome, metabolome) within various microbiome related projects at HMGU and within external consortia or integrations of LC/MS with high resolution information (uHR-MS) as obtained by ICR-FT/MS.

  

Source: Prof. Dr. P. Schmitt-Kopplin