pyCaBio 0.5.0

caBIO (cancer Bioinformatics Infrastructure Objects) is a robust resource for accessing biomedical annotations from curated data sources in an integrated view in support of knowledge discovery. The entities that concern the Central Dogma of Molecular Biology are the core of the model. Data for the classes come from a variety of sources, including CGAP, Unigene, and the Cancer Gene Index, as well as a number of array manufacturers (for microarray annotations). Given the dynamic nature of this information, the data in caBIO is updated semi-monthly through a series of ETL (Extract, Transform and Load) processes.<br /><br />The caBIO home page provides access to caBIO data for end users. This simple interface allows users to gain access caBIO data by entering search criteria in the domain class or browser, or by using the Google??a*zNz-like FreestyleLM search.<br /><br />Programmatic access to caBIO data is provided by a robust, platform-independent set of data services developed using the caCORE data integration techniques. You can also set up your own caBIO server for data at your site.<br /><br />Researchers are able to perform innovative analysis on caBIO data via a variety of Application Programming Interfaces (APIs), including Java and HTTP-XML, as well as web services and a service on caGrid. caBIO also provides a number of utilities to search for and manipulate data objects programmatically.<br /><br />The caBIO download provides open source licensing information and access to the caBIO source code, web services, Java client.jar files, programming interfaces, use cases and documentation. Please contact NCICB Application Support to obtain the latest caBIO schema, database distribution and instructions for installing the database.<br /><br /><br />#md5=64065aec1ddff2693670484d26ba94ac<br />#md5=2ba8d0557e264548930e8ffcd642cf69

Requirements:	No special requirements
Platforms:	*nix, Linux
Keyword:	Access,  Analysis,  Annotations,  Application,  Cabio,  Database,  Including,  Information,  Interfaces,  Number,  Programming,  Pycabio,  Robust,  Search,  Services,  Source,  Sources,  Users,  Variety
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