Associated Papers
Integrating epidemiology and genomics data to estimate the prevalence of acquired cysteine drug targets in the U.S. cancer patient population.
Arun AS et al.
The Pharmacogenomics Journal, 2025
40044654 (PubMed )
Supplement: 41397_2025_364_MOESM3_ESM.xlsx › Sheet1
Multiplexed in vivo base editing identifies functional gene-variant-context interactions.
Acosta J et al.
Biorxiv : the Preprint Server for Biology, 2025
40060482 (PubMed )
Supplement: media-4.xlsx › Table_S2A
The theory of massively repeated evolution and full identifications of cancer-driving nucleotides (CDNs).
Zhang L et al.
Elife, 2024
39688960 (PubMed )
Supplement: elife-99340-supp1.xlsx › CDN.Missense.gnomad
Multi-omics therapeutic perspective on ACVR1 gene: from genetic alterations to potential targeting.
Nagar G et al.
Briefings in Functional Genomics, 2023
Clinical utility of Todai OncoPanel in the setting of approved comprehensive cancer genomic profiling tests in Japan.
Kage H et al.
Cancer Science, 2023
36601953 (PubMed )
Supplement: CAS-114-1710-s001.xlsx › Sup_Table_3
Recurrent ACVR1 mutations in posterior fossa ependymoma.
Pratt D et al.
Acta Neuropathologica, 2022
Identifying Potential Neoantigens for Cervical Cancer Immunotherapy Using Comprehensive Genomic Variation Profiling of Cervical Intraepithelial Neoplasia and Cervical Cancer.
Bao C et al.
Frontiers in Oncology, 2021
34221990 (PubMed )
Supplement: Table_3.xlsx › Table_3
Identification of pathogenic missense mutations using protein stability predictors.
Gerasimavicius L et al.
Scientific Reports, 2020
32958805 (PubMed )
Supplement: 41598_2020_72404_MOESM2_ESM.xlsx › gnomAD
Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes.
Dong X et al.
Communications Biology, 2020
31925297 (PubMed )
Supplement: 42003_2019_736_MOESM10_ESM.xlsx › Sheet1
Copy number signatures and mutational processes in ovarian carcinoma.
Macintyre G et al.
Nature Genetics, 2018
30104763 (PubMed )
Supplement: NIHMS78219-supplement-3.xlsx › mutated_cases
Inherited Disease Genetics Improves the Identification of Cancer-Associated Genes.
Zhao B et al.
Plos Genetics, 2016
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