Associated Papers
Computational modeling of human genetic variants in mice.
Dong K et al.
Biorxiv : the Preprint Server for Biology, 2025
40060429 (PubMed )
Supplement: media-1.zip › Supp_Data_7_MHC_I_binding_prediction.xlsx › Sheet1_human_validated
Multiomics Characterization of Low-Grade Serous Ovarian Carcinoma Identifies Potential Biomarkers of MEK Inhibitor Sensitivity and Therapeutic Vulnerability.
Shrestha R et al.
Cancer Research, 2021
33441310 (PubMed )
Supplement: can-20-2222_supplemental_st1-st14_suppst1-st14.xlsx › S3
Identification of Characteristic Genomic Markers in Human Hepatoma HuH-7 and Huh7.5.1-8 Cell Lines.
Kawamoto M et al.
Frontiers in Genetics, 2020
33193621 (PubMed )
Supplement: Data_Sheet_1.xlsx › Candidate_Gene_Detail
Identification of NCAN as a candidate gene for developmental dyslexia.
Einarsdottir E et al.
Scientific Reports, 2017
28839234 (PubMed )
Supplement: 41598_2017_10175_MOESM3_ESM.xls › 3935-rare_exonic_variants
Exome sequencing deciphers a germline MET mutation in familial epidermal growth factor receptor-mutant lung cancer.
Tode N et al.
Cancer Science, 2017
28294470 (PubMed )
Supplement: CAS-108-1263-s001.pdf
Co-existence of BRAF and NRAS driver mutations in the same melanoma cells results in heterogeneity of targeted therapy resistance.
Raaijmakers MI et al.
Oncotarget, 2016
27791198 (PubMed )
Supplement: oncotarget-07-77163-s002.xlsx › M121224
The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data.
Tang X et al.
Nucleic Acids Research, 2014
25352556 (PubMed )
Supplement: supp_gku1005_nar-01266-met-n-2014-File012.xlsx › TCGA-A8-A06P-01A.domain
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