Why do we need PhenoMeNal?

When doing computational data analysis, researchers will often be confronted with the difficult reality of having to install complex scientific software and tools. In addition, you must set up intricate methods of connecting these tools, all while dealing with data standard requirements and data transformations. This typically requires a fairly high level of expertise in bioinformatics, which is typically not accessible to most researchers. PhenoMeNal aims to bridge this technical gap by providing an automatic way of using and connecting a plethora of metabolomics software and tools.

Real challenges and PhenoMeNal solutions

Caroline is a clinician-scientist who is profiling the metabolic phenotype of people with bladder cancer. She needs a way to analyse her data so that she can identify biomarkers that can be used to detect bladder cancer. She has little programming and computational expertise.

Challenges