Associated Papers
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
Pathogenic variants in human DNA damage repair genes mostly arose in recent human history.
Zhao B et al.
Bmc Cancer, 2024
38575974 (PubMed )
Supplement: 12885_2024_12160_MOESM3_ESM.xlsx › Sheet1
Human BRCA pathogenic variants were originated during recent human history.
Li J et al.
Life Science Alliance, 2022
35165121 (PubMed )
Supplement: LSA-2021-01263_TableS1.xlsx › Sheet3
Benchmarking of SpCas9 variants enables deeper base editor screens of BRCA1 and BCL2.
Sangree AK et al.
Nature Communications, 2022
35288574 (PubMed )
Supplement: 41467_2022_28884_MOESM10_ESM.xlsx › WT-ABE_library_annotation
Identification of pathogenic variants in cancer genes using base editing screens with editing efficiency correction.
Huang C et al.
Genome Biology, 2021
33691754 (PubMed )
Supplement: 13059_2021_2305_MOESM7_ESM.xlsx › Table_S6
Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases.
Ryu GM et al.
Nucleic Acids Research, 2009
19139070 (PubMed )
Supplement: gkn1008_nar-01723-s-2008-File009.xls › TypeIII
Why are some human disease-associated mutations fixed in mice?
Gao L et al.
Trends in Genetics : Tig, 2003
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