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

Genome Biol · 2009 · PMC2688268 · PMID 19236709

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highly significantno p-value reported

Specifically, we found that at 5× span coverage heterozygous inversions can be recovered with high reconstruction efficiency (>95%; Table S4 in Additional data file 1) and highly significant E -values (based on simulations; Table S2 in Additional data file 1).

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