Associated Papers
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 2025
41022739 (PubMed )
Supplement: 41467_2025_63528_MOESM7_ESM.xlsx › Sheet1
Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.
Funk JS et al.
Nature Genetics, 2025
39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM5_ESM.xlsx › SuppFig6
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
36561320 (PubMed )
Supplement: Table2.xlsx › TP53
Identification and functional characterization of new missense SNPs in the coding region of the TP53 gene.
Doffe F et al.
Cell Death and Differentiation, 2021
33257846 (PubMed )
Supplement: 41418_2020_672_MOESM3_ESM.xlsx › Table_S2c
An Integrated Next-Generation Sequencing System for Analyzing DNA Mutations, Gene Fusions, and RNA Expression in Lung Cancer.
Haynes BC et al.
Translational Oncology, 2019
30981944 (PubMed )
Supplement: mmc1.xlsx › S5
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark
Cross-species genomic landscape comparison of human mucosal melanoma with canine oral and equine melanoma.
Wong K et al.
Nature Communications, 2019
30664638 (PubMed )
Supplement: 41467_2018_8081_MOESM5_ESM.xlsx › Human
Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.
de Andrade KC et al.
Human Mutation, 2019
30352134 (PubMed )
Supplement: supplement_1.xlsx › Supplementary_Table_1
Reproducible Analysis of Post-Translational Modifications in Proteomes--Application to Human Mutations.
Holehouse AS et al.
Plos One, 2015
26659599 (PubMed )
Supplement: pone.0144692.s002.xlsx › suppTable_2.txt
Assessment of computational methods for predicting the effects of missense mutations in human cancers.
Gnad F et al.
Bmc Genomics, 2013
23819521 (PubMed )
Supplement: 1471-2164-14-S3-S7-S1.xlsx › COSMIC
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