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Therapeutically Applicable Research to Generate Effective Treatments (TARGET)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/target-dataset")

fs.listdir("s3://gdc-target-phs000218-2-open")

Description:

Therapeutically Applicable Research to Generate Effective Treatments (TARGET) is the collaborative effort of a large, diverse consortium of extramural and NCI investigators. The goal of the effort is to accelerate molecular discoveries that drive the initiation and progression of hard-to-treat childhood cancers and facilitate rapid translation of those findings into the clinic. TARGET projects provide comprehensive molecular characterization to determine the genetic changes that drive the initiation and progression of childhood cancers.The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification data from Genomic Data Commons (GDC), and open data from GDC Legacy Archive.

Contact:

Therapeutically Applicable Research to Generate Effective Treatments (TARGET) is the collaborative effort of a large, diverse consortium of extramural and NCI investigators. The goal of the effort is to accelerate molecular discoveries that drive the initiation and progression of hard-to-treat childhood cancers and facilitate rapid translation of those findings into the clinic. TARGET projects provide comprehensive molecular characterization to determine the genetic changes that drive the initiation and progression of childhood cancers.The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification data from Genomic Data Commons (GDC), and open data from GDC Legacy Archive.

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.

Managed By:

https://ctds.uchicago.edu/

Resources:

  1. resource:
    • Description: Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification, GDC LegacyArchive

    • ARN: arn:aws:s3:::gdc-target-phs000218-2-open

    • Region: us-east-1

    • Type: S3 Bucket

Tags:

aws-pds, cancer, genomic, life sciences, whole genome sequencing, STRIDES

Tools & Applications:

  1. tools & applications:

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Publication:

  1. publication:

    • Title: Genomic classification and identification of the cell of origin of pediatric mixed phenotype acute leukemia

    • URL: https://doi.org/10.1038/s41586-018-0436-0

    • AuthorName: Thomas B. Alexander, Zhaohui Gu, Ilaria Iacobucci, et al.

  2. publication:

  3. publication:

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  5. publication:

    • Title: The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific mutational interactions

    • URL: https://www.ncbi.nlm.nih.gov/pubmed/?term=29227476

    • AuthorName: Bolouri H, Farrar JE, Triche T Jr, et al.

  6. publication:

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  9. publication:

    • Title: Genetic predisposition to neuroblastoma mediated by a LMO1 super-enhancer polymorphism
    • URL: https://www.ncbi.nlm.nih.gov/pubmed/?term=26560027
    • AuthorName: Oldridge DA, Wood AC, Weichert-Leahey N, Crimmins I, Sussman R, Winter C, McDaniel LD, Diamond M, Hart LS, Zhu S, Durbin AD, Abraham BJ, et al.
  10. publication:

  11. publication:

    • Title: The genetic landscape of high-risk neuroblastoma
    • URL: https://www.ncbi.nlm.nih.gov/pubmed/?term=23334666
    • AuthorName: Pugh TJ, Morozova O, Attiyeh EF, Asgharzadeh S, Wei JS, Auclair D, Carter SL, Cibulskis K, Hanna M, Kiezun A, Kim J, Lawrence MS, Lichenstein L, et al.
  12. publication:

  13. publication:

    • Title: Identification and analyses of extra-cranial and cranial rhabdoid tumor molecular subgroups reveal tumors with cytotoxic T cell infiltration

    • URL: https://doi.org/10.1016/j.celrep.2019.10.013

    • AuthorName: Hye-Jung E. Chun, Pascal D. Johann, Katy Milne et al.

  14. publication:

  15. publication:

    • Title: A Children's Oncology Group and TARGET initiative exploring the genetic landscape of Wilms tumor

    • URL: https://doi.org/10.1038/ng.3940

    • AuthorName: Gadd S, Huff V, Walz AL, et al.

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About

target-dataset is originate from the Registry of Open Data on AWS

Collaborators 5

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