GenomicDataCommons | Provide R access to the NCI Genomic Data Commons portal | Genomics library

 by   Bioconductor R Version: Current License: No License

kandi X-RAY | GenomicDataCommons Summary

kandi X-RAY | GenomicDataCommons Summary

GenomicDataCommons is a R library typically used in Artificial Intelligence, Genomics applications. GenomicDataCommons has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

From the Genomic Data Commons (GDC) website:. The National Cancer Institute's (NCI's) Genomic Data Commons (GDC) is a data sharing platform that promotes precision medicine in oncology. It is not just a database or a tool; it is an expandable knowledge network supporting the import and standardization of genomic and clinical data from cancer research programs. The GDC contains NCI-generated data from some of the largest and most comprehensive cancer genomic datasets, including The Cancer Genome Atlas (TCGA) and Therapeutically Applicable Research to Generate Effective Therapies (TARGET). For the first time, these datasets have been harmonized using a common set of bioinformatics pipelines, so that the data can be directly compared. As a growing knowledge system for cancer, the GDC also enables researchers to submit data, and harmonizes these data for import into the GDC. As more researchers add clinical and genomic data to the GDC, it will become an even more powerful tool for making discoveries about the molecular basis of cancer that may lead to better care for patients. The data model for the GDC is complex, but it worth a quick overview. The data model is encoded as a so-called property graph. Nodes represent entities such as Projects, Cases, Diagnoses, Files (various kinds), and Annotations. The relationships between these entities are maintained as edges. Both nodes and edges may have Properties that supply instance details. The GDC API exposes these nodes and edges in a somewhat simplified set of RESTful endpoints.
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            kandi-support Support

              GenomicDataCommons has a low active ecosystem.
              It has 73 star(s) with 21 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 19 open issues and 77 have been closed. On average issues are closed in 269 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of GenomicDataCommons is current.

            kandi-Quality Quality

              GenomicDataCommons has no bugs reported.

            kandi-Security Security

              GenomicDataCommons has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              GenomicDataCommons does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              GenomicDataCommons releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            GenomicDataCommons Key Features

            No Key Features are available at this moment for GenomicDataCommons.

            GenomicDataCommons Examples and Code Snippets

            No Code Snippets are available at this moment for GenomicDataCommons.

            Community Discussions

            QUESTION

            R: How to read multiple txt.gz files into a single table in R
            Asked 2021-Mar-23 at 07:13

            I have been struggling on figuring out how to read multiple txt.gz files and merge them into a single table in R. The data that I have been working on looks like this:

            ...

            ANSWER

            Answered 2021-Mar-23 at 07:13

            QUESTION

            How can I avoid travis-ci "SSL errors"?
            Asked 2017-May-04 at 13:32

            I am using travis-ci for building and testing an R package that accesses a RESTful API. Building, checking, and using outside of the travis infrastructure appears to work fine. However, when building on travis, I get:

            ...

            ANSWER

            Answered 2017-May-04 at 13:32

            Thanks to the Travis support team on Twitter the answer is to install an upgraded version of ssl. In your .travis.yml file include:

            Source https://stackoverflow.com/questions/41522256

            QUESTION

            Developing R package and need to deal with "SSL connect error"
            Asked 2017-Mar-04 at 18:14

            I am developing an R package and getting reports of:

            ...

            ANSWER

            Answered 2017-Mar-04 at 18:14

            The issue is most likely due to outdated TLS support on the clients since disabling peer certificate and hostname validation doesn't help.

            A quick scan of the server shows that they only support TLS 1.2 connections, so clients must support this (SSLv3, TLS 1.0, or TLS 1.1 won't work). This means OpenSSL 1.0.1 or greater is required.

            Unfortunately, there's nothing you'll be able to do within your code to work around this. They'll need to ensure that their cURL libraries are built with modern TLS support.

            Source https://stackoverflow.com/questions/42597043

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install GenomicDataCommons

            This software is available at Bioconductor.org and can be downloaded via BiocManager::install. To report bugs or problems, either submit a new issue or submit a bug.report(package='GenomicDataCommons') from within R (which will redirect you to the new issue on GitHub).
            Installation can be achieved via Bioconductor's BiocManager package.
            This code block downloads the r nrow(ge_manifest) gene expression files specified in the query above. Using multiple processes to do the download very significantly speeds up the transfer in many cases. The following completes in about 15 seconds.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/Bioconductor/GenomicDataCommons.git

          • CLI

            gh repo clone Bioconductor/GenomicDataCommons

          • sshUrl

            git@github.com:Bioconductor/GenomicDataCommons.git

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