Biomarker significance of plasma and tumor miR-21, miR-221, and miR-106a in osteosarcomaīy Nakka M, Allen-Rhoades W, Li Y, et al.Ancestry and pharmacogenomics of relapse in acute lymphoblastic leukemia by Yang JJ, Cheng C, Devidas M, et al.A Children's Oncology Group and TARGET initiative exploring the genetic landscape of Wilms.TARGET data matrix by National Cancer Institute.ISB Cancer Genomics Cloud by Institute for Systems Biology.Genomic Data Commons by National Cancer Institute.GDC Legacy Archive by National Cancer Institute.Broad Institute FireCloud by The Broad Institute of MIT & Harvard.Therapeutically Applicable Research to Generate Effective Treatments (TARGET) was accessed on DATE from. See all datasets managed by Center for Translational Data Science at The University of Chicago. NIH Genomic Data Sharing Policy: Documentation Genomic Data Commons (GDC) is source of truth for this dataset GDC offers monthly data releases,Īlthough this dataset may not be updated at every release. ![]() 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. 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. Therapeutically Applicable Research to Generate Effective Treatments (TARGET) is the collaborative effort of a large, diverse consortium of extramural and NCI investigators.
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