Associated Papers
Functional Analysis of Rare RAS Variants of Unknown Significance.
Park S et al.
Cancer Research Communications, 2025
40970755 (PubMed )
Supplement: crc-25-0188_supplementary_table_s5_suppst5.xlsx › Supplementary_Table_S5
Single-cell DNA and surface protein characterization of high hyperdiploid acute lymphoblastic leukemia at diagnosis and during treatment.
Aertgeerts M et al.
Hemasphere, 2025
39944233 (PubMed )
Supplement: HEM3-9-e70085-s006.xlsx › XJ176_variants
Base editing screens define the genetic landscape of cancer drug resistance mechanisms.
Coelho MA et al.
Nature Genetics, 2024
Somatic mutations in 3929 HPV positive cervical cells associated with infection outcome and HPV type.
Pinheiro M et al.
Nature Communications, 2024
39266536 (PubMed )
Supplement: 41467_2024_51713_MOESM5_ESM.xlsx › Data_2
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
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
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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