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The NCI instance of the caArray database is now retired. For details about the retirement, see the caArray Retirement Announcement. |
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Tool Overview
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caArray is an open-source, web and programmatically accessible arraymicroarray data management system . caArray guidesthat supports the annotation and exchangeof array data using a federated model of local installations whose results are shareable across the cancer Biomedical Informatics Grid (caBIG®). caArray furthers translational cancer research through acquisition, dissemination and aggregation of semantically interoperable array data to support subsequent analysis by tools and services on and off the Grid. As array technology advances and matures, caArray will extend its logical library of assay management.For information about using caArray2, visit the caArray pages on the Molecular Analysis Tools Knowledge Center. On this caArray2 WikiThis wiki provides the following technical documentation for users of caArray2. Include Page | | caArray2:caArray 2.x Documentation on this Wiki | caArray2:caArray 2.x Documentation on this Wiki | |||
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Installation and Downloads
Downloads
System Requirements
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)
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J2SE Development Kit | 6.0 (J2SE 6.0) |
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Apache Ant | 1.7.0 |
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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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Support for caArray
You can contact the NCI CBIIT Application Support if you have any questions or concerns.
- End User Forum
- Developer Forum
- caArray Developers Listserv
- caArray Users Listserv
- Report a Defect or Request a Feature at caArray Jira Tracker
- Mini-how to Submit Bug reports or Feature Requests in JIRA A tutorial on how to use JIRA for caArray.
Citations
For a list of articles that discuss caArray, visit caArray Citations.
Integration with other tools
Integration with geWorkbench
geWorkbench can query for data in an instance of caArray via a Java API. Several operations are supported. You can:
- Query for experiments, for example by platform or by species.
- Select from which hybridizations in an experiment you wish to download data.
- Download derived (summarized, probeset-level) data that has been parsed into the database. An example is the values loaded from Affymetrix CHP files (created through GCOS/MAS5). geWorkbench does not currently support retrieving or analyzing Affy CEL files directly.
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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The software can be downloaded.
Integration with caIntegrator
caIntegrator can extract the genomic data from caArray hosted on either a private server can:
- Extract the genomic data into caIntegrator.
- Integrate the genomic data with the clinical data and imaging data in caIntegrator.
- Perform genomic data analysis with the built-in GenePattern Tool within caIntegrator.
The current release of caIntegrator, version 1.4, works with caArray 2.5.
To install a local copy, download a copy of the software.
Integration with GenePattern
GenePattern has a module that can retrieve data from caArray using its Java API. The caArray2.3.0 Importer lets you retrieve raw data files from caArray by experiment name or id. You can specify the extension of the data file that you want to download. The default is .CEL.
You can process CEL files using the GenePattern module ExpressionFileCreator. Once you have used ExpressionFileCreator, the data can be further analyzed using many different GenePattern analysis modules.
The caArray 2.3.0 Importer module is compatible with caArray v2.3.x. You may download the caArray2.3.0Importer.
The caArray 2.1.0 Importer module is compatible with caArray v2.1.x and v2.2.0. You may download the caArray2.1.0Importer.
The GenePattern team has recently devleoped caArray2ImportViewer, a visualizer to import data from caArray into GenePattern. It is compatible with caArray 2.4.0.x. Please see the documentation to learn more.
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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