Proteomics and other high-throughput omics analyses are fundamental to life sciences research and have reached unprecedented levels of complexity. To simplify the interpretation of complex results, the Omics Data Analysis Service was created within the ITB Proteomics Service. Analyses are performed using open-source platforms (MaxQuant and Perseus), which integrate all the necessary tools for statistical analysis, exporting data to other free online tools (String, Panther), and even rendering data ready for publication. Basic analyses include:
- Studies of differential expression and its representation in the form of a volcano.
- Correlation/reproducibility studies, principal component analysis, and hierarchical categorization.
- Category enrichment studies (Gene Onthology) including: metabolic pathways; cell signaling; cell localization, etc.
- Identification and quantification of post-translational modifications, including phosphorylation motif studies and prediction of kinase activation.
- Complex studies including temporal dynamics and identification of expression patterns or population trials using artificial intelligence (Learning machine analysis).
Provision of services
Initial phase: ideally we prefer to contribute to the experimental design and discuss the methodology for processing the samples and instrumental analysis that best suits each case.
Development phase: We conduct an initial analysis and discuss the data with the researchers. We define the objectives and analyses to be performed.
Execution phase: We conduct in-depth analysis, generate graphs of the results, and draw conclusions. This entire process is linked to continuous communication between the researcher(s) and the data analyst.