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
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › TP53
Ultrasensitive profiling of UV-induced mutations identifies thousands of subclinical facial tumors in tuberous sclerosis complex.
Klonowska K et al.
The Journal of Clinical Investigation, 2022
35358092 (PubMed )
Supplement: jci-132-155858-s188.xlsx › Supplemental_Table_5.1.
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
35043155 (PubMed )
Supplement: supplementary_table_s1_bbab524.xlsx › S1B._Negative_Set
Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics.
Morita K et al.
Nature Communications, 2020
33087716 (PubMed )
Supplement: 41467_2020_19119_MOESM4_ESM.xlsx › Sheet1__2_
Selective identification of somatic mutations in pancreatic cancer cells through a combination of next-generation sequencing of plasma DNA using molecular barcodes and a bioinformatic variant filter.
Kukita Y et al.
Plos One, 2018
29451897 (PubMed )
Supplement: pone.0192611.s007.xlsx › tableSX
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