Untargeted methods of omics generate massive amounts of data that need to be processed and interpreted. We have understood that this data processing, beyond the biostatistical and bioinformatic methods that we have developed, must go as far as the expression of the phenomena observed in terms of biology.
We propose the analysis of eukaryotic proteomes or transcriptomes with the CORAVALID pipeline and the analysis of the metaproteome with the HolXplore pipeline.
The basic version of CORAVALID is a complementary analysis of the data, highlighting the biological processes, molecular functions, cellular components and metabolic and signal pathways related to proteins or genes significantly regulated in a quantitative comparison in high resolution proteomics or in genomics (" biochips ").
The associations are validated by statistical tests and manual curation.
The standard version of CORAVALID Level 2 synthesizes and interprets these results and the information associated with each protein, to highlight the phenomena and mechanisms at work distinguishing the two samples compared. This synthesis makes it possible to highlight the major biological functions impacted.
Contextualization and / or follow-up meeting if desired
A selection of the major impacted biological functions is performed to determine if they are positively or negatively regulated. This choice takes place during the contextualization and / or follow-up meeting. In the absence of a meeting, a selection of the most important biological functions will be carried out. The in-depth analysis of this selection will make it possible to determine the biological significance of the results obtained (to determine if the major biological functions impacted are positively or negatively regulated and to deduce the associated consequences), to determine phenotypes, and to propose claims.
HolXplore is a complementary analysis of data from metaproteomic experiments, highlighting the biological effects related to the results:
- Analysis of the diversity of the microbiota associated with the 2 conditions tested.
- Evaluation of a potential change in microbiota structure at different taxonomic levels, validation by statistical analysis.
- Dispersion of samples according to the diversity of their microbiota.
The following analyzes will be carried out in parallel for the taxa 1) Bacteria, 2) Fungiet 3) Homo sapiens: