Additional file 4: of 
                     SeqCNV: a novel method for identification of copy number variations in targeted next-generation sequencing data

Chen, Yong; Zhao, Li; Wang, Yi; Cao, Ming; Gelowani, Violet; Xu, Mingchu; Agrawal, Smriti; Li, Yumei; Daiger, Stephen; Gibbs, Richard; Wang, Fei; Chen, Rui

doi:10.6084/m9.figshare.c.3708070_D4.v1

12859_2017_1566_MOESM4_ESM.pdf (11.27 kB)

Additional file 4: of SeqCNV: a novel method for identification of copy number variations in targeted next-generation sequencing data

journal contribution

posted on 2017-03-03, 05:00 authored by Yong Chen, Li Zhao, Yi Wang, Ming Cao, Violet Gelowani, Mingchu Xu, Smriti Agrawal, Yumei Li, Stephen Daiger, Richard Gibbs, Fei Wang, Rui Chen

Execution time comparison. Estimation of the execution time for SeqCNV compared with other tools on BAC spike-in data, retinitis pigmentosa data and whole-exome sequencing data (chr1 only) in our study. (PDF 11Â kb)

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National Natural Science Foundation of China

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Next-generation sequencing Copy number variation Maximum penalized likelihood estimation

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