{"_id":"564a4390e126d40d00f0e066","__v":2,"initVersion":{"_id":"55faf11ba62ba1170021a9aa","version":"1.0"},"tags":[],"user":{"_id":"554290cd6592e60d00027d17","username":"","name":"Seven Bridges"},"project":"55faf11ba62ba1170021a9a7","createdAt":"2015-11-16T20:58:56.358Z","changelog":[{"_id":"565f14d57f93280d0052cea8","update":"","type":"added"}],"body":"**Release Date: 2015-11-16\nVersion: 0.1**\n\nThese release notes introduce the Early Adopter Version of the Seven Bridges Cancer Genomics Cloud (CGC). \n\nThe CGC is a cloud platform for cancer genomics data analysis. This is the first full deploy of the platform, and is open for approved early adopter users only. \n\nWe’re looking forward to seeing what our early adopter users do with the CGC, and will be incorporating changes based on their feedback in subsequent releases. Please be aware that some features of this release are still in alpha and subject to change.\n\n##New Features \nThe following features are present in this release: \n\n###dbGaP authentication\n  * Registration and authentication on the CGC using eRA Common and NIH cit credentials.\n  * Authentication to use TCGA Controlled Data based on dbGaP permissions.\n\n###Collaboration features at project-level\n  * Tool- and data-sharing between project members.\n  * User management to set read, write, and execute permissions within projects.\n\n###Controlled Access projects to work on protected TCGA data.\n  * The TCGA dataset\n  * The TCGA dataset, hosted in the CGC’s secure cloud environment. This includes more than 500,000 files representing cases from all cancer types. \n  * A graphical case explorer to investigate TCGA cases by tumor type and gene mutation status.\n  * Introduction of a semantic triplestore for more than 120 TCGA metadata properties and an alpha version of the ‘Data Browser’. The Data Browser provides a graphical interface to construct queries and explore the TCGA dataset. \n\n###Private Data Uploads\n  * Efficient upload clients to add your private data to the CGC from personal computers, clusters and FTP servers.\n\n###Bioinformatics Apps \n  * Ready-to-use open source bioinformatics tools and workflows. \n  * An interactive genome browser.\n  * A Docker-based command-line utility for porting third-party software to the CGC. \n  * A graphical interface for building, configuring, and executing a workflow.\n\n###Native CWL Support\n  * Full support for the Common Workflow Language (CWL). \n  * Tools can be installed on the CGC using their CWL descriptions. Alternatively, tools can be installed using a graphical tool editor, which automatically generates a CWL tool description. \n\n###Knowledge center \n  * Documentation (currently in beta)\n  * A collaborative question and answer site for cancer researchers.\n  * A CGC blog \n\n##Known Issues\nThis release of the service has the following known issues, which will be corrected in future versions: \n\n  * The ‘file’ node must be selected in the Data Browser in order to link data to a project. \n  * Some planned documentation pages are still in development. \n  * The Knowledge Center documentation page may require 15 seconds to load completely.","slug":"release-note-version-01","title":"Release note - Version 0.1"}

Release note - Version 0.1


**Release Date: 2015-11-16 Version: 0.1** These release notes introduce the Early Adopter Version of the Seven Bridges Cancer Genomics Cloud (CGC). The CGC is a cloud platform for cancer genomics data analysis. This is the first full deploy of the platform, and is open for approved early adopter users only. We’re looking forward to seeing what our early adopter users do with the CGC, and will be incorporating changes based on their feedback in subsequent releases. Please be aware that some features of this release are still in alpha and subject to change. ##New Features The following features are present in this release: ###dbGaP authentication * Registration and authentication on the CGC using eRA Common and NIH cit credentials. * Authentication to use TCGA Controlled Data based on dbGaP permissions. ###Collaboration features at project-level * Tool- and data-sharing between project members. * User management to set read, write, and execute permissions within projects. ###Controlled Access projects to work on protected TCGA data. * The TCGA dataset * The TCGA dataset, hosted in the CGC’s secure cloud environment. This includes more than 500,000 files representing cases from all cancer types. * A graphical case explorer to investigate TCGA cases by tumor type and gene mutation status. * Introduction of a semantic triplestore for more than 120 TCGA metadata properties and an alpha version of the ‘Data Browser’. The Data Browser provides a graphical interface to construct queries and explore the TCGA dataset. ###Private Data Uploads * Efficient upload clients to add your private data to the CGC from personal computers, clusters and FTP servers. ###Bioinformatics Apps * Ready-to-use open source bioinformatics tools and workflows. * An interactive genome browser. * A Docker-based command-line utility for porting third-party software to the CGC. * A graphical interface for building, configuring, and executing a workflow. ###Native CWL Support * Full support for the Common Workflow Language (CWL). * Tools can be installed on the CGC using their CWL descriptions. Alternatively, tools can be installed using a graphical tool editor, which automatically generates a CWL tool description. ###Knowledge center * Documentation (currently in beta) * A collaborative question and answer site for cancer researchers. * A CGC blog ##Known Issues This release of the service has the following known issues, which will be corrected in future versions: * The ‘file’ node must be selected in the Data Browser in order to link data to a project. * Some planned documentation pages are still in development. * The Knowledge Center documentation page may require 15 seconds to load completely.