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    Cancer Cell Line Encyclopedia (CCLE)

     Info
    Open data
    |
    Deployed on AWS
    The Cancer Cell Line Encyclopedia (CCLE) project is an effort to conduct a detailed genetic characterization of a large panel of human cancer cell lines. The CCLE provides public access to genomic data, visualization and analysis for over 1100 cancer cell lines. This dataset contains RNA-Seq Aligned Reads, WXS Aligned Reads, and WGS Aligned Reads data.

    Overview

    The Cancer Cell Line Encyclopedia (CCLE) project is an effort to conduct a detailed genetic characterization of a large panel of human cancer cell lines. The CCLE provides public access to genomic data, visualization and analysis for over 1100 cancer cell lines. This dataset contains RNA-Seq Aligned Reads, WXS Aligned Reads, and WGS Aligned Reads data.

    Features and programs

    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.

    Pricing

    This is a publicly available data set. No subscription is required.

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    Content disclaimer

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    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Open data resources

    Available with or without an AWS account.

    How to use
    To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more 
    Description
    RNA-Seq Aligned Reads, WXS Aligned Reads, WGS Aligned Reads
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::gdc-ccle-2-open
    AWS region
    us-east-1
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://gdc-ccle-2-open/

    Resources

    Support

    How to cite

    Cancer Cell Line Encyclopedia (CCLE) was accessed on DATE from https://registry.opendata.aws/ccle .

    License

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