2012
DOI: 10.1093/nar/gks003
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cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate

Abstract: Quantitative analyses of next-generation sequencing (NGS) data, such as the detection of copy number variations (CNVs), remain challenging. Current methods detect CNVs as changes in the depth of coverage along chromosomes. Technological or genomic variations in the depth of coverage thus lead to a high false discovery rate (FDR), even upon correction for GC content. In the context of association studies between CNVs and disease, a high FDR means many false CNVs, thereby decreasing the discovery power of the st… Show more

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Cited by 396 publications
(363 citation statements)
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References 29 publications
(49 reference statements)
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“…The search was restricted to the autosomes, sites with no more than 20 germline reads were filtered by GATK (McKenna et al 2010), sites with germline coverage between 16 and 90 with at least four copies of each allele present, sites where the strand bias lies between 0.1 and 0.9, and sites that are not in obvious regions of germline copy-number variation, identified with fastseg (Klambauer et al 2012). This results in approximately 2 million such loci per trio.…”
Section: Multiple Sample Analysismentioning
confidence: 99%
“…The search was restricted to the autosomes, sites with no more than 20 germline reads were filtered by GATK (McKenna et al 2010), sites with germline coverage between 16 and 90 with at least four copies of each allele present, sites where the strand bias lies between 0.1 and 0.9, and sites that are not in obvious regions of germline copy-number variation, identified with fastseg (Klambauer et al 2012). This results in approximately 2 million such loci per trio.…”
Section: Multiple Sample Analysismentioning
confidence: 99%
“…Finally, we used RD information to select tandem duplications derived from the analysis of the abnormally mapped RPs. The copy numbers of duplications were estimated based on RD information using the cn.MOPS package (Klambauer et al, 2012).…”
Section: Sv Discovery and Genotypingmentioning
confidence: 99%
“…Every comparison was encoded as a vector of zeros and ones based on the parental homolog to which child's homolog corresponded (zero, parental homolog 1; one, parental homolog 2). Then a circular binary segmentation algorithm (R package fastseg, minSeg set to 150) (Klambauer et al 2012) was applied on the binary vectors using a custom R script. Segments <5 Mb were filtered out.…”
Section: Mapping Meiotic Recombination Breakpointsmentioning
confidence: 99%