Lab BasicsΒΆ

This section will show you the basic elements you will see in Databiology Lab a more detailed view is on the Documentation Guide.

  • After login into Databiology Lab, you will see the Dashboard page, at the top you will see the general menu

    _images/lab_ui.png
  • Click on p_icon the icon to go into your project, where some project information is presented, and some example data and analysis has been included. You will also notice there is a list of links at the left to quickly navigate over the project, those links are quick accesses to some general elements:

    • Resources. Files and data objects that belong to the project by importing them or generated by an analysis

    • Extracts. Because resources had been generated by some technology, these entities are intended to keep such information

    • Samples . Of course, the extracts were obtained from physical samples, these entities are intended to keep such information

    • Episodes. These entities keep data related to temporal origin, such as medical revisions or laboratory tests results.

    • Subjects. This entity stores phenotypical information related to a subject, animal or plant.

    • Datasets. Data collections are listed and shared here

    • Workunits. Any process occurred in the systems is recorded as a Workunit which stores information for the data input and output, parameters, application, user, infrastructure, etc.

  • Search. search All information which you have access is searchable, you can use the search box or click on the magnifying glass to go to the search page.

  • Run an Application. Applications are listed under the Workunits link in the top, there you can select an Import app (which is intended to register or retrieve data from a specific source) or Analysis app (which requires an input to be executed), after choosing the app type, you will see the list of apps available, use the Run button to use one of them. At this point you can select data, either by selecting the files with the filtering box, from your resource basket or using a predefined dataset. After data selection, the app could need some parameter configuration, selection of project, storages and submitters, then you can click on Save to execute the WU. The Workunit will have a life cycle of Pending, Running and finally Available (or Failed if some error occurs). Interactive apps (such as Jupyter notebooks) will be in Running mode until the user terminates them from the app.