6 research outputs found
Additional file 4: Table S3. of Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas
Number of Single Nucleotide Variants (SNVs) and regions of Allelic Imbalance (AI) present in tumors as shared, primary only, or recurrence only in the pHGG tumor pairs analyzed in this study. (XLSX 13Â kb
Additional file 6: Figure S3. of Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas
Immunohistochemical staining for the MMR panel (MLH1, MSH2, MSH6 and PMS2) in the HGG11 primary tumor. (PDF 23521Â kb
Additional file 3: Figure S1. of Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas
IGV views a subclonal low frequency PIK3CA mutation in HGG3 from a clinical sequencing panel, WES, and targeted sequencing. (PDF 2380Â kb
Additional file 2: Table S2. of Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas
Somatic and putative somatic mutation information for 16 pairs of pHGGs analyzed in this study. (XLSX 301Â kb
Additional file 7: Figure S4. of Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas
Genome-wide view of copy number variations in HGG9 primary and recurrence tumors calculated from Whole Exome Sequencing data. (PDF 2757Â kb