GenomicDataCommons | Provide R access to the NCI Genomic Data Commons portal | Genomics library
kandi X-RAY | GenomicDataCommons Summary
kandi X-RAY | GenomicDataCommons Summary
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.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of GenomicDataCommons
GenomicDataCommons Key Features
GenomicDataCommons Examples and Code Snippets
Community Discussions
Trending Discussions on GenomicDataCommons
QUESTION
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 07:13Try this code :
QUESTION
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 13:32Thanks to the Travis support team on Twitter the answer is to install an upgraded version of ssl. In your .travis.yml
file include:
QUESTION
I am developing an R package and getting reports of:
...ANSWER
Answered 2017-Mar-04 at 18:14The 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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GenomicDataCommons
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
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page