Computational Biology

In order to maximize the utility of analytical assays, researchers must leverage a wide range of bioinformatic tools to process, evaluate, compare, and synthesize experimental data. At Momentum, we have an experienced team of computational biologists and bioinformaticians who can provide top-notch support for your data analysis, whether as a follow-up to one of our workflows or as an independent project. Our integrated approach means that experimental strategies are designed to facilitate comprehensive bioinformatics and statistical data analysis, setting you up for success before the first piece of data is collected. Our modular platform of bioinformatics and computational biology tools and algorithms is constantly expanding.

We can also leverage proteogenomics approaches and other sophisticated analyses to extract relevant information and support the discovery of multivariate and multi-omics biomarkers. Other advanced data analysis capabilities include genomics, statistics, cluster analyses, curve fitting, machine learning approaches, feature selection, multivariate statistics, correlation analysis, Lasso/Elastic net procedures, pathway and network analyses and much more.