This version applies to the current release of the BisQue user manual.

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Bisque User Manual

Maintenance: Tues, Jan 28, 2020


Discovery Environment         8:00am to 5:00pm MST
The Discovery Environment will be unavailable while patches and updates are applied.
        ** Currently running analyses will be terminated. Please plan accordingly.

Data Store                    8:00am to 5:00pm MST
The Data Store will be unavailable during the maintenance period.
Data Commons                  8:00am to 5:00pm MST
The Data Commons will be unavailable during the maintenance period.
Atmosphere and Cloud Services 8:00am to 5:00pm MST
Marana Cloud: Atmosphere instances in the Marana Cloud will be operational; however, you will not be able to use the Data Store within your instance, and you may not be able to access the Atmosphere web interface.
User Portal                   8:00am to 5:00pm MST
The User Portal,, will be unavailable while we perform maintenance and updates.
Agave/Science API             8:00am to 5:00pm MST
The Agave/Science API will be unavailable during this maintenance period.
DNA Subway                    8:00am to 5:00pm MST
DNA Subway will be unavailable during this maintenance period.
The following services will NOT be affected by the maintenance: CyVerse Wiki and JIRA


Keep up to date with our maintenance schedules on the CyVerse public calendar
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Please contact for any questions, or concerns.







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IMPORTANT: Before using BisQue especially if you want to automate data ingest from the Data Store, please request access through the User Portal with your account.

BisQue is an advanced image database and analysis system for biological 5D images. BisQue supports large-scale image databases (TB to PB), flexible experimental data management, metatdata- and content-based search, analysis integration, and knowledge discovery. The BisQue system is based on scalable web services and is deployed on one to N servers, depending on needs and data load.

Users can use BisQue to capture, analyze, query, add metadata to, and store biological resources – datasets, files, images, MEX-files, or users – in a database. From there, scientists can perform high-level queries of the image files for image retrieval and comparison.

Some key ingredients of BisQue are:

  • Flexible schema for scientific data management
  • Integrated analysis system
  • Search by content and metadata
  • Data visualization system

Typical BisQue use cases include online storage and sharing of images for multi-user phenotyping projects, tagging images with text and graphical metadata, analyzing batches of images, and making plots based on images or image analyses. The owner of a resource in the BisQue repository can make the item private, shared, or public.

Before you begin, you may want to view the BisQue online tutorials.

For other information related to BisQue, click at the top right of the BisQue screen.

Helpful Links

This user guide contains: