Associated Papers
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
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
Targeted sequencing of FH-deficient uterine leiomyomas reveals biallelic inactivating somatic fumarase variants and allows characterization of missense variants.
Popp B et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc, 2020
32612247 (PubMed )
Supplement: 41379_2020_596_MOESM2_ESM.xlsx › allFH_missense
Next-generation sequencing identifies high frequency of mutations in potentially clinically actionable genes in sebaceous carcinoma.
Tetzlaff MT et al.
The Journal of Pathology, 2016
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