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titleRetired

The NCI instance of the caArray database is now retired. For details about the retirement, see the caArray Retirement Announcement.

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titleAt a Glance Details
  • Version Number and Release Date: 2.5.3 May 2014
  • Primary audience: Microarray data producers and application developers
  • Grid Enabled? Yes
  • Installation Level: Intermediate - technical assistance may be required, download may require supporting infrastructure or software
  • System Requirements: Refer to the System Requirements section.

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Tool Overview

The NCI instance of the caArray database is now retired. For details about the retirement, see the caArray Retirement Announcement

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caArray logo caArray is an open-source, web and programmatically accessible microarray data management system that supports the annotation of microarray data using MAGE-TAB

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and web-based forms. Data and annotations may be kept private to the owner, shared with user-defined collaboration groups, or made public.

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Installation and Downloads

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While caArray is a web-based application, it does have a dependent software stack, which includes: MySQL 5.0.27 database; JBoss 5.1. (hosts the caArray grid service and the caArray application); and JEMS installer 1.0.2 GA (supports EJB 3.0 specification)

Dependent Software

Version

URL

J2SE Development Kit

6.0 (J2SE 6.0)

J2SE 6.0

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Apache Ant

1.7.0

apache-ant-1.7.0-bin.zip

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MySQL

5.1

mysql 5.1

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JBoss for UPT

5.1

JBOSS for Grid Service

5.1.

JBOSS for caArray application

5.1.

GitHub Repositories

  • caArray Github Repository
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  • caArray docs GitHub Repository
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Support for caArray

You can contact the NCI CBIIT Application Support if you have any questions or concerns.

Citations

For a list of articles that discuss caArray, visit caArray Citations.

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The current release of geWorkbench, version 2.5.0, connects with caArray 2.5.0 and 2.5.1
For more information, visit the geWorkbench project page.

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You may also download GenePattern.

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Once you've fetched your microarray data from caArray from any of the above versions of the caArrayImporter, you can use that data in any GenePattern module or pipeline that accepts gene expression data. To view compatible modules from within GenePattern you can click the context arrow next to the imported file (the result file of your caArrayImporter job in Recent Jobs) to see which modules can accept this dataset.

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