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AluScanCNV2:An R package for copy number variation calling and cancer risk prediction with next-generation sequencing data 被引量:2

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摘要 The usage of next-generation sequencing(NGS)to detect copy number variation(CNV)is widely accepted in cancer research.Based on an AluScanCNV software developed by us previously,an AluScanCNV2 software has been developed in the present study as an R package that performs CNV detection from NGS data obtained through AluScan,wholegenome sequencing or other targeted NGS platforms.Its applications would include the expedited usage of somatic CNVs for cancer subtyping,and usage of recurrent germline CNVs to perform machine learning-assisted prediction of a test subject’s susceptibility to cancer.
出处 《Genes & Diseases》 SCIE 2019年第1期43-46,共4页 基因与疾病(英文)
基金 The study was supported by grants to H.Xue from University Grants Committee(VPRDO09/10.SC08) Innovation and Technology Fund(ITS/113/15FP)of Hong Kong SAR.
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