Additional file 1 of Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications
收藏DataCite Commons2023-05-18 更新2024-08-18 收录
下载链接：
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
下载链接
链接失效反馈官方服务：
资源简介：
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：
figshare
创建时间：
2023-05-18
