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
Reannotation of cancer mutations based on expressed RNA transcripts reveals functional non-coding mutations in melanoma.
Pepe D et al.
American Journal of Human Genetics, 2025
40359938 (PubMed )
Supplement: mmc2.xlsx › All
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
Sequencing of Cutaneous Squamous Cell Carcinoma Primary Tumors and Patient-Matched Metastases Reveals ALK as a Potential Driver in Metastases and Low Mutational Concordance in Immunocompromised Patients.
Lobl MB et al.
Jid Innovations : Skin Science From Molecules to Population Health, 2022
Somatic Evolution in Non-neoplastic IBD-Affected Colon.
Olafsson S et al.
Cell, 2020
32697969 (PubMed )
Supplement: mmc4.xlsx › A__TCGA_hotspots
Targeted next-generation sequencing of matched localized and metastatic primary high-risk SCCs identifies driver and co-occurring mutations and novel therapeutic targets.
Lobl MB et al.
Journal of Dermatological Science, 2020
Analysis of error profiles in deep next-generation sequencing data.
Ma X et al.
Genome Biology, 2019
30867008 (PubMed )
Supplement: 13059_2019_1659_MOESM1_ESM.xlsx › S3_b
Integrative omics analyses broaden treatment targets in human cancer.
Sengupta S et al.
Genome Medicine, 2018
30053901 (PubMed )
Supplement: 13073_2018_564_MOESM2_ESM.xlsx › 13
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