Fig. 2
From: Annot: a Django-based sample, reagent, and experiment metadata tracking system
Annot workflow representation. Assay reagents and samples are first annotated via the Annot web interface or via Excel spreadsheet that can be uploaded into Annot. This annotation step enforces the use of controlled vocabulary and official gene, protein, compound and cell line identifiers. Annotated reagents and samples are next combined into endpoint, perturbation, and sample sets. In this step, additional experimental details can be specified, for example, reagent concentrations, cell seeding density, or cell passage number (red arrows). For assays that involve robot pipetting, array spotting, or cyclic staining, super sets can be generated (light green arrows). Finally, for each assay: run, endpoint, perturbation, sample, and super sets are merged to a run specific assay layout (dark green arrows). Assays and supersets that are regularly processed by the lab can be directly tracked in Annot, along with specification of the date, protocol and laboratory personnel. Lastly, assays can be grouped into studies and studies into investigations (blue arrows)