Cancer Genome Characterization Initiatives - Burkitt Lymphoma Genome Sequencing Project

cancer genomic life sciences

Description

The Cancer Genome Characterization Initiatives (CGCI) program supports cutting-edge genomics research of adult and pediatric cancers. CGCI investigators develop and apply advanced sequencing methods that examine genomes, exomes, and transcriptomes within various types of tumors. The Burkitt Lymphoma Genome Sequencing Project (BLGSP) aim is to create a databank of the many alterations found in Burkitt lymphoma, an uncommon type of Non-Hodgkin lymphoma. The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, and miRNA Expression Quantification data.

Update Frequency

Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers monthly data releases, although this dataset may not be updated at every release.

License

NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access-policies

Documentation

https://ocg.cancer.gov/programs/cgci

Managed By

Center for Translational Data Science at The University of Chicago

See all datasets managed by Center for Translational Data Science at The University of Chicago.

Contact

dcf-support@datacommons.io

Usage Examples

Tools & Applications
Publications
  • Genome-wide discovery of somatic coding and noncoding mutations in pediatric endemic and sporadic Burkitt lymphoma by Bruno M. Grande, Daniela S. Gerhard, Aixiang Jiang, Nicholas B. Griner, Jeremy S. Abramson, Thomas B. Alexander , Hilary Allen, Leona W. Ayers, Jeffrey M. Bethony , Kishor Bhatia , Jay Bowen , Corey Casper , John Kim Choi , Luka Culibrk , Tanja M. Davidsen, Maureen A. Dyer, Julie M. Gastier-Foster, Patee Gesuwan, Timothy C. Greiner, Thomas G. Gross, Benjamin Hanf, Nancy Lee Harris, Yiwen He, John D. Irvin, Elaine S. Jaffe, Steven J. M. Jones, Patrick Kerchan, Nicole Knoetze, Fabio E. Leal, Tara M. Lichtenberg, Yussanne Ma, Jean Paul Martin, Marie-Reine Martin, Sam M. Mbulaiteye, Charles G. Mullighan, Andrew J. Mungall, Constance Namirembe, Karen Novik, Ariela Noy, Martin D. Ogwang, Abraham Omoding, Jackson Orem, Steven J. Reynolds, Christopher K. Rushton, John T. Sandlund, Roland Schmitz, Cynthia Taylor, Wyndham H. Wilson, George W. Wright, Eric Y. Zhao, Marco A. Marra, Ryan D. Morin, Louis M. Staudt

Resources on AWS

  • Description
    Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::gdc-cgci-blgsp-phs000235-2-open
    AWS Region
    us-east-1

Edit this dataset entry on GitHub

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