Omics data analysis
TenWise performs dedicated analysis of your ~omics data. Since every ~omics project is different in set-up and goals, a tailor-made proposal and quote will be made for each project. In our experience, analysis from raw -data to final results of a typical ~omics data set takes 2-3 weeks hands-on analysis time.
Take a look at the interactive HTML document: analysis of gene expression during T-Cell activation.
Most analysis projects will include the following steps.
Data processing and QA/QC
This involves the conversion of raw sequence reads to OTUs (microbiomics) or genes (transcriptomics). TenWise does not yet offer analysis of MS-spectra from metabolomics or proteomics experiments).
Univariate and multivariate statistics
In this step, various statistical methods are used to identify potential biomarkers that are specific for a given diseases state, intervention or other experimental condition. Also classification methods, such as randomForest, can be used at this stage.
In this stage, the lists of biomarkers are evaluated with respect to what is already known in scientific literature or in canonical knowledge databases. This includes pathway analysis, enrichment methods, and the generation of literature reports.
Publication-grade graphs and visualisation
Custom graphs such as Principal Component Analysis graphs, heatmaps, networks, boxplots that support the statistical and biological conclusions will be produced as high resolution, publication-grade graphs.
In our experience, analysis of a typical ~omics data set takes 2-3 weeks hands-on analysis time. An analysis is done in iterative cycli in which regular progress reports are produced by TenWise and evaluated together with the customer to define next steps for analysis. This means that an average total running time of a project is 2-3 months.
Recent projects that we have been involved in include the analysis of the effects magnesium in a Klotho-/- mutant in mice, the interaction of magnesium and high-fat diets in mice, the homeostasis of the human complement system in children.