Associated Papers
Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method.
Tam B et al.
International Journal of Molecular Sciences, 2024
38255924 (PubMed )
Supplement: ijms-25-00850-s001.zip › Supplementary_Table_S1.xlsx › Sheet1
The clinical utility of integrative genomics in childhood cancer extends beyond targetable mutations.
Villani A et al.
Nature Cancer, 2023
36585449 (PubMed )
Supplement: 43018_2022_474_MOESM10_ESM.xlsx › Table_S6_-_Category_D_variants
SPiP: Splicing Prediction Pipeline, a machine learning tool for massive detection of exonic and intronic variant effects on mRNA splicing.
Leman R et al.
Human Mutation, 2022
36273432 (PubMed )
Supplement: HUMU-43-2308-s002.xlsx › Feuil1
Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders.
Rowlands C et al.
Scientific Reports, 2021
34663891 (PubMed )
Supplement: 41598_2021_99747_MOESM2_ESM.xlsx › Table-S1-modified
Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance.
Wai HA et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
32123317 (PubMed )
Supplement: 41436_2020_766_MOESM3_ESM.xlsx › Variant_summary
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