Associated Papers
Mining cancer genomes for change-of-metabolic-function mutations.
Tu KJ et al.
Communications Biology, 2023
37950065 (PubMed )
Supplement: 42003_2023_5475_MOESM2_ESM.pdf
High throughput profiling of undifferentiated pleomorphic sarcomas identifies two main subgroups with distinct immune profile, clinical outcome and sensitivity to targeted therapies.
Toulmonde M et al.
Ebiomedicine, 2020
33254023 (PubMed )
Supplement: mmc5.xlsx › UPS_somatic_mutations_filtered
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations.
Fragoza R et al.
Nature Communications, 2019
31515488 (PubMed )
Supplement: 41467_2019_11959_MOESM11_ESM.xlsx › SD7_-_Drug_Targets
Actionable perturbations of damage responses by TCL1/ATM and epigenetic lesions form the basis of T-PLL.
Schrader A et al.
Nature Communications, 2018
29449575 (PubMed )
Supplement: 41467_2017_2688_MOESM20_ESM.xlsx › d__Freq_TP093
Assessment of computational methods for predicting the effects of missense mutations in human cancers.
Gnad F et al.
Bmc Genomics, 2013
23819521 (PubMed )
Supplement: 1471-2164-14-S3-S7-S1.xlsx › COSMIC
CanDrA: cancer-specific driver missense mutation annotation with optimized features.
Mao Y et al.
Plos One, 2013
24205039 (PubMed )
Supplement: pone.0077945.s001.xls › Table_S1
Predicting the functional impact of protein mutations: application to cancer genomics.
Reva B et al.
Nucleic Acids Research, 2011
21727090 (PubMed )
Supplement: supp_gkr407_Supplement2_Table_SM1_COSMIC_mutations.xls › Sheet1
Select a paper to view details