The goal of the project is to identify recurrent genetic alterations (mutations, deletions,
amplifications, rearrangements) and/or gene expression signatures. National Cancer Institute (NCI)
utilized whole genome sequencing and/or whole exome sequencing in conjunction with transcriptome
sequencing. The samples were processed and submitted for genomic characterization using pipelines
and procedures established within The Cancer Genome Analysis (TCGA) project.
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.
NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access-policies
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.
Tools & Applications
A multiprotein supercomplex controlling oncogenic signalling in lymphoma by Phelan JD, Young RM, Webster DE, Roulland S, Wright GW, Kasbekar M, Shaffer AL 3rd,
Ceribelli M, Wang JQ, Schmitz R, Nakagawa M, Bachy E, Huang DW, Ji Y, Chen L, Yang Y, Zhao
H, Yu X, Xu W, Palisoc MM, Valadez RR, Davies-Hill T, Wilson WH, Chan WC, Jaffe ES, Gascoyne
RD, Campo E, Rosenwald A, Ott G, Delabie J, Rimsza LM, Rodriguez FJ, Estephan F, Holdhoff M,
Kruhlak MJ, Hewitt SM, Thomas CJ, Pittaluga S, Oellerich T, Staudt LM
Genetics and Pathogenesis of Diffuse Large B Cell Lymphoma by Roland Schmitz, Ph.D., George W. Wright, Ph.D., Da Wei Huang, M.D., Calvin A. Johnson,
Ph.D., James D. Phelan, Ph.D., James Q. Wang, Ph.D., Sandrine Roulland, Ph.D., Monica
Kasbekar, Ph.D., Ryan M. Young, Ph.D., Arthur L. Shaffer, Ph.D., Daniel J. Hodson, M.D.,
Ph.D., Wenming Xiao, Ph.D., et al.