Additional file 1 of Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications
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https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Introme_accurately_predicts_the_impact_of_coding_and_noncoding_variants_on_gene_splicing_with_clinical_applications/22914479/1
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Additional file 1: Table S1. Experimentally validated variants from SpliceVarDB used to train and test Introme. Table S2. Variants experimentally validated using RT-PCR for splice-altering changes by SA Pathology. Table S3. Features in Introme. Table S4. Variants used for allele frequency assessment.
提供机构:
Scott, Hamish S.; Sullivan, Patricia J.; Davis, Ryan L.; Hort, Yvonne; Mayoh, Chelsea; Arts, Peer; Jackson, Matilda R.; Oates, Emily; Gayevskiy, Velimir; Cowley, Mark J.; Laing, Nigel; Dubowsky, Andrew; Dinger, Marcel E.; McCabe, Mark J.; Mallawaarachchi, Amali; Wong, Marie; Beecroft, Sarah; Pinese, Mark
创建时间:
2023-05-18



