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docs/build/doctrees/sections/webapp/General-Permissions.doctree
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# Sphinx build info version 1 | ||
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. | ||
config: ec1dc642bb8019421b122b09d33a5ec1 | ||
config: 0c42a34b9f89ccb7b7b7386f626dd2ac | ||
tags: 645f666f9bcd5a90fca523b33c5a78b7 |
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About the ISB Cancer Genomics Cloud | ||
=================================== | ||
|
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The ISB-CGC provides interactive and programmatic access to the TCGA data, leveraging many | ||
aspects of the Google Cloud Platform including BigQuery, Compute Engine, App Engine, Cloud | ||
Datalab and Google Genomics. Open-access clinical and biospecimen information for all TCGA | ||
patients and samples, combined with the Level-3 TCGA data and genomic reference and | ||
platform-annotation sources are stored in BigQuery, enabling fast SQL-like queries against | ||
the entire dataset. Controlled-access DNA and RNA sequence data is available to | ||
dbGaP-authorized users in the original BAM and FASTQ file formats. | ||
The ISB-CGC provides interactive and programmatic access to the TCGA data, | ||
leveraging many aspects of the Google Cloud Platform including BigQuery, | ||
Compute Engine, App Engine, Cloud Datalab and Google Genomics. | ||
Open-access clinical and biospecimen information for all TCGA patients | ||
and samples, combined with the Level-3 TCGA data and genomic reference and | ||
platform-annotation sources are stored in BigQuery, enabling fast SQL-like | ||
queries against the entire dataset. Controlled-access DNA and RNA | ||
sequence data is available to dbGaP-authorized users in the original BAM | ||
and FASTQ file formats. | ||
|
||
The ISB-CGC aims to serve the needs of a broad range of cancer researchers ranging from | ||
scientists or clinicians who prefer to use an interactive web-based application to | ||
access and explore the rich TCGA dataset, to computational scientists who want to write | ||
their own custom scripts using languages such as R or Python, accessing the data through APIs, | ||
to algorithm developers who want to spin up thousands of virtual machines to analyze hundreds | ||
of terabytes of sequence data. The ISB-CGC allows scientists to interactively define and | ||
compare cohorts, examine the underlying molecular data for specific genes or pathways of | ||
interest, and share insights with collaborators around the globe. | ||
The ISB-CGC aims to serve the needs of a broad range of cancer researchers | ||
ranging from scientists or clinicians who prefer to use an interactive | ||
web-based application to access and explore the rich TCGA dataset, to | ||
computational scientists who want to write their own custom scripts using | ||
languages such as R or Python, accessing the data through APIs, to algorithm | ||
developers who want to spin up thousands of virtual machines to rapidly | ||
analyze hundreds of terabytes of sequence data. The ISB-CGC allows scientists | ||
to interactively define and compare cohorts, examine the underlying molecular | ||
data for specific genes or pathways of interest, and share insights with | ||
collaborators around the globe. | ||
|
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About the TCGA Data | ||
=================== | ||
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The ISB-CGC hosts approximately 1 petabyte of TCGA_ data in Google Cloud | ||
Storage (GCS_) and in BigQuery_. | ||
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.. _TCGA: http://cancergenome.nih.gov/ | ||
.. _GCS: https://cloud.google.com/storage/ | ||
.. _BigQuery: https://cloud.google.com/bigquery/ | ||
|
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