Associated Papers
Integrating evidence from protein domains to identify cancer driver mutations.
Ostroverkhova D et al.
Protein Science : a Publication of the Protein Society, 2026
41556616 (PubMed )
Supplement: PRO-35-e70422-s002.xlsx › Table_S1
Standing in the canine precision medicine knowledge gap: Improving annotation of canine cancer genomic biomarkers through systematic comparative analysis of human cancer mutations in COSMIC.
Sakthikumar S et al.
Veterinary and Comparative Oncology, 2023
37248814 (PubMed )
Supplement: supplement_1.xlsx › Supp._Table_5
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.
Liu J et al.
Genome Medicine, 2022
35209950 (PubMed )
Supplement: 13073_2022_1027_MOESM22_ESM.xls › Sheet1
MHC class II restricted neoantigen peptides predicted by clonal mutation analysis in lung adenocarcinoma patients: implications on prognostic immunological biomarker and vaccine design.
Cai W et al.
Bmc Genomics, 2018
30075702 (PubMed )
Supplement: 12864_2018_4958_MOESM5_ESM.xlsx › Supplementary_Figure_4
Pan-cancer analysis of bi-allelic alterations in homologous recombination DNA repair genes.
Riaz N et al.
Nature Communications, 2017
29021619 (PubMed )
Supplement: 41467_2017_921_MOESM6_ESM.xlsx › Sheet1
VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research.
Lai Z et al.
Nucleic Acids Research, 2016
27060149 (PubMed )
Supplement: gkw227_Supplementary_Data.zip › nar-03544-met-k-2015-File003.xls › Suppl._Table_3
Kinase-dead ATM protein is highly oncogenic and can be preferentially targeted by Topo-isomerase I inhibitors.
Yamamoto K et al.
Elife, 2016
27304073 (PubMed )
Supplement: elife-14709-supp1.xlsx › Supplementary_Information_1B
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