Users can collaborate by sharing analysis sessions and workflows.
The standard behavior of each stage is as follows: The initialization stage consists of setting up the session, loading the workflow and checking the state of both the current and previous databank releases.
The workflow of this session was effortless, even if at times repetitive.
Internally, the APIs handle parsing and rendering of workflow templates, tracking session state, rendering and providing validation for input components and interfacing with relational databases and storage subsystems.
Digitisation was trialled at two different points in the workflow: before the screening session resulted in 30% wastage due to women not attending; and after the screening session caused a bottle-neck in workflow that slowed the screening process by approximately half a day (3 minutes per woman) in this implementation.
The basic workflow of a typical curation session is depicted in Figure 1.
The workshop included introductory presentations by the organizers, contributed talks on experiences inserting text mining tools into the curation workflow, and a well-attended discussion session.
Lectures and laboratory sessions were ordered logically to reflect a typical workflow, i.e., sample preparation > data acquisition > data analysis.
Several users with diverse metabolomics backgrounds were recruited to participate in various exercises, like a metabolite mind-mapping session, giving the opportunity to design metabolite-centric workflows.
Due to the efficiencies and workflow of the VM system, laboratory sessions were reduced from three hours to two hours without reducing the number of slides taught in each session.
