Associated Papers
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: mmc6.xlsx › Sheet_1
Oncogenic composite mutations can be predicted by co-mutations and their chromosomal location.
Küçükosmanoglu A et al.
Molecular Oncology, 2024
38757376 (PubMed )
Supplement: MOL2-18-2407-s001.xlsx › 1B_Cases_composite_mutations
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
LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer.
Melloni GE et al.
Bmc Bioinformatics, 2016
26860319 (PubMed )
Supplement: 12859_2016_935_MOESM2_ESM.xlsx › Table_S5
Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach.
Vuong H et al.
Genome Medicine, 2014
25360158 (PubMed )
Supplement: 13073_2014_81_MOESM1_ESM.xlsx › Table_S1
Contributions of intrinsic mutation rate and selfish selection to levels of de novo HRAS mutations in the paternal germline.
Giannoulatou E et al.
Proceedings of the National Academy of Sciences of the United States of America, 2013
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