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
Comprehensive structure-function analysis reveals gain- and loss-of-function mechanisms impacting oncogenic KRAS activity.
Kwon JJ et al.
Biorxiv : the Preprint Server for Biology, 2024
39484452 (PubMed )
Supplement: media-2.zip › Extended_Data_Tables › Extended_Data_Table_2.xlsx › TCGA_Germline_Somatic_coinciden
KRAS Mutation Subtypes and Their Association with Other Driver Mutations in Oncogenic Pathways.
Mondal K et al.
Cells, 2024
Next-Generation Sequencing Analysis of Mutations in Circulating Tumor DNA from the Plasma of Patients with Head-Neck Cancer Undergoing Chemo-Radiotherapy Using a Pan-Cancer Cell-Free Assay.
Koukourakis MI et al.
Current Oncology (toronto, Ont.), 2023
Beyond Structural Bioinformatics for Genomics with Dynamics Characterization of an Expanded KRAS Mutational Landscape.
Ratnasinghe BD et al.
Biorxiv : the Preprint Server for Biology, 2023
Beyond structural bioinformatics for genomics with dynamics characterization of an expanded KRAS mutational landscape.
Ratnasinghe BD et al.
Computational and Structural Biotechnology Journal, 2023
Clinically actionable cancer somatic variants (CACSV): a tumor interpreted dataset for analytical workflows.
Sobahy TM et al.
Bmc Medical Genomics, 2022
35468810 (PubMed )
Supplement: 12920_2022_1235_MOESM2_ESM.xlsx › Sheet1
Structural bioinformatics enhances mechanistic interpretation of genomic variation, demonstrated through the analyses of 935 distinct RAS family mutations.
Tripathi S et al.
Bioinformatics (oxford, England), 2021
33226070 (PubMed )
Supplement: btaa972_supplementary_data.zip › RAS_Manuscript_RMarkdown.tar.gz › RAS_Manuscript1.Revised › RAS_Variants_Scores.xlsx › Sheet1
Comprehensive identification of long noncoding RNAs in colorectal cancer.
James de Bony E et al.
Oncotarget, 2018
29963224 (PubMed )
Supplement: oncotarget-09-27605-s005.xlsx › Sheet1
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
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