PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data

出版年份 2009 全文链接

标题

PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data

作者

关键词

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出版物

GENOME BIOLOGY

Volume 10, Issue 2, Pages R23

出版商

Springer Nature

发表日期

2009-02-24

DOI

10.1186/gb-2009-10-2-r23

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