Intuitive Web-Based Experimental Design for High-Throughput Biomedical Data

Figure 1

Data model used for experimental design: each project can contain multiple experiments of varying types: biological experiments contain biological entities like patients, animals, or plants used in the experiment and their metadata, for example, treatments or genotypes. Sample extraction experiments contain information about tissues or cells extracted from these entities and sample preparation experiments contain samples that have been prepared for data creation by mass spectrometry or other methods. Additionally, fields in the sample model allow for storage of common metadata like taxonomic identifiers, the type of measurement technology, instrument parameters, and so forth.