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Launching an Analysis Job

For analyzing data, you can select an App from the left panel of SciApps. In this example, to cover the minimum you need to launch an analysis, we will use SNAP, a gene finding app, to estimate Hidden Markov Model (HMM) parameters with a GFF file output from MAKER, an annotation App.


Example Data

Input Description Example
Annotated gene models MAKER output in GFF3 format maker_out.gff.gz

Apps:

App name Version Description App link Notes/other links
SNAP 0.0.1 Semi-HMM-based Nucleic Acid Parser SNAP-0.0.1 SNAP documentation

Example Analysis: HMM parameters estimation with SNAP

  1. Login to SciApps at https://www.SciApps.org.

  2. Click Prediciton category (left panel) or search for SNAP, then click SNAP to load SNAP-0.0.1.

  3. Under “GFF file” click Browse DataStore, then navigate the example folder (example > maker); select maker_out.gff.gz and click ‘Select and Close’.

    snap_app

  4. Leave other parameters as default, and then click Submit Job. You will be asked to confirm; click “Submit”. You will be prompted to check the job status in the right panel.

    Tip

    In the right panel, each analysis job is designated with a number and an App id (e.g. 1: SNAP-0.0.1). Outputs (e.g. snap_out.hmm) are displayed after clicking the job name and job status is displayed after clicking the (i) icon.

    status

    From left to right, there are four icons next to each job name:

    • Checkbox: If checked, the analysis will be added to the workflow building page.
    • Information: More information about the status of the analysis job and link to the output folder (for an example, check the screenshot below). agave_status
    • Relaunch: Relaunch the analysis job with the same inputs and parameters.
    • Visualization: Generate links for visualizing in a Genome Browser or Web Browser.

    Tip

    If a job is failed, you can try to debug it with the .err file and .out file in the output folder.

    Note

    Outputs displayed under job names are defined outputs in Agave app JSON. You can drag and drop an URL from them as input of subsequent steps. Then workflows can be constructed with these steps.

    Click the output URL to check the output with associated metadata. The output URL shouldn’t be used with Genome Browsers.

    Both the Checkbox and the Visualization icon are disabled before the job is completed.

  5. Click the Visualization icon to display the list of outputs. Select an output, then you can either get a URL for visualizing it in a Genome (or Web) Browser, or download the output directly.

    Tip

    Click the Visualize button for direct visualization.

    visual_window

    For getting an URL, a dialog window will be opened with the URL embedded. Click ‘Copy to clipboard’, then hit ctrl-v or cmd-v to paste the URL elsewhere.

    visual_window2

    Note

    Anyone with access to a file’s URL can access that file.


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