Pediatric Cancer 9 Visualizations
Selected visualizations related to advancement of cures for pediatric cancer.
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Mutational data for 165 CBF-AML cases sequenced either by whole-genome (n = 17) or whole-exome (n = 148) sequencing are displayed. Two fusion subgroups are compared (RUNX1-RUNX1T1 and CBFB-MYH11). Signaling, epigenetic and cohesin genes are separated into func...
Displaying a heatmap showing genomic data for DUX4/ERG ALL cases (columns); genes (rows) are grouped by functional pathway. The color for each type of genetic alteration is defined as per legend. The genomic profiling performed and presence/absence of ERGalt,...
Here we profile the epigenetic and transcriptional changes that occur during retinogenesis in mice and humans. To see additional tracks, click on the 'Tracks' button in the genome browser toolbar. Choose the facet table under FACET. Click on individual cells,...
Displaying a heatmap of recurrent gene mutations found in 433 medulloblastoma patient samples from whole-genome and whole-exome sequencing data. Samples are grouped according to subtype (WNT, SHH, Group 3, Group 4). Ploidy, patient age group (infant, child, or...
Heatmap summarizing target genes within pediatric and young adult T-lineage acute lymphoblastic leukemia from Liu et al. 2017 (representative of Fig. 5). Samples are grouped by deregulated gene status (TAL1, TLX3, TLX1, HOXA, LMO2/LYL1, NKX2-1, LMO1/2, and TAL...
Summary view of HMM states for patient derived xenografts of pediatric solid tumors. Mousing over each colored bars reveals the HMM state. The FPKM expression value of the first gene in the viewing window is displayed as a bar plot on the right.
Heatmap of genomic mutation data for multiple pediatric leukemias and solid tumors. Here samples (columns) are grouped by cancer subtype; genes (rows) harboring mutations are grouped by functional class. The color for each type of genetic alteration is defined...
Heatmap of mutated genes across neuroblastoma cohort analyzed in Brady et al. 2020 (heatmap representative of Fig. 1) identifying of age- and signature 18 associated drivers and recurrent FGFR1 mutations. For each sample age, coding mutations, stage, WGS avail...
ChIP-SEQ data (H3K27Ac, HLX, LHX2, and LMZ1A ChIP-SEQ tracks) for selected medulloblastoma patient samples are displayed. Samples are grouped into four medulloblastoma subtypes (WNT, SHH, Group 3, and Group 4). Different regions of the genome can be viewed by...