Associated Papers
Concurrent genomic assessment of circulating tumour cells and ctDNA to guide therapy in metastatic breast cancer.
Allsopp RC et al.
Bmc Cancer, 2025
41351070 (PubMed )
Supplement: 12885_2025_15187_MOESM1_ESM.zip › Supp_Table_1.xlsx › Sheet1
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1
Whole Exome Sequencing Reveals Clustering of Variants of Known Vitiligo Genes in Multiplex Consanguineous Pakistani Families.
Ishaq R et al.
Genes, 2023
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines.
Munté E et al.
Bioinformatics (oxford, England), 2023
36916756 (PubMed )
Supplement: btad128_supplementary_data.zip › btad128_Supplementary_Data › Supplementary_tables10022023.xlsx › ST8-CDH1
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant
Protein domains provide a new layer of information for classifying human variations in rare diseases.
Corcuff M et al.
Frontiers in Bioinformatics, 2023
36896423 (PubMed )
Supplement: Table1.XLSX › Supplementary_Table_1
Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach.
Bhai P et al.
Frontiers in Genetics, 2021
34326862 (PubMed )
Supplement: Data_Sheet_1.zip › Supplementary_files › Supplementary_Table_S4.xlsx › Every_test
Comparative analysis of functional assay evidence use by ClinGen Variant Curation Expert Panels.
Kanavy DM et al.
Genome Medicine, 2019
31783775 (PubMed )
Supplement: 13073_2019_683_MOESM2_ESM.xlsx › Table_S1_CDH1_A
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › Sheet1
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
Clinical laboratories collaborate to resolve differences in variant interpretations submitted to ClinVar.
Harrison SM et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2017
28301460 (PubMed )
Supplement: NIHMS853375-supplement-Supplemental_Table_4__Consensus_classifications_for_all_211_resolved_variants.xlsx › Supplemental_Table_4
Select a paper to view details