Table1_Insights on variant analysis in silico tools for pathogenicity prediction.docx
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://figshare.com/articles/dataset/Table1_Insights_on_variant_analysis_in_silico_tools_for_pathogenicity_prediction_docx/21695258
下载链接
链接失效反馈官方服务:
资源简介:
Molecular biology is currently a fast-advancing science. Sequencing techniques are getting cheaper, but the interpretation of genetic variants requires expertise and computational power, therefore is still a challenge. Next-generation sequencing releases thousands of variants and to classify them, researchers propose protocols with several parameters. Here we present a review of several in silico pathogenicity prediction tools involved in the variant prioritization/classification process used by some international protocols for variant analysis and studies evaluating their efficiency.
创建时间:
2022-12-08



