Searching journal content for articles similar to Schlattl et al. 21 (12): 2004.

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  1. ...recovered between 151 92% and 100% of the ENCODE CNV events (Figure 4B). The statistical significance of the overlap 152 between ENCODE and PARTAGE CNVs was assessed using ProOvErlap (Gualandi et al. 2025), 153 confirming that the concordance is substantially greater than expected by chance (Figure 4B). 154...
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  2. ...study of structural variation as it relates to breed-specific phenotypes is lacking. We have generated whole CNV maps for more than 300 canids. Our data set extends the canine structural variation landscape to more than 100 dog breeds, including novel variants that cannot be assessed using microarray...
  3. ...CNV regions identified in normal individuals. These data sets alone correspond to over 910Mb of structurally variant DNA. More than 9000 genes have beenmapped within or near regions of human structural variation. While SNPs aremore frequent,CNVs involvemore genomic sequences andhave potentially more...
  4. ...-variable regions. Such methods, however, are hindered by sequencing biases that lead certain regions of the genome to be over- or undersampled, lowering their resolution and ability to accurately identify the exact breakpoints of the variants. In this work, we develop a method for CNV detection that supplements...
  5. ...(Luu et al. 2017). The overlap between these regions and pan-And-CNS was substantially less than would be expected by chance, suggesting recent selection in maize has mainly favored variants that do not modify these constrained functional regions (Supplemental Fig. S21).CNS variation is associated...
  6. ...and ultimately the sequence variants has proved more difficult, so that our information on the molecular basis of quantitative variation remains limited. Nevertheless, available data indicate that many variants lie outside genes, presumably in regulatory regions of the genome, where they act by altering gene...
  7. ...used to perform transcriptome-wide analysis of gene expression, and many methods have been developed to measure gene expression variability and to compare gene expression between conditions. Because RNA-seq is also becoming increasingly popular for transcriptome characterization, the possibility exists...
  8. ...(particularly for indels in tandem repeats) as expected from the improved mapping and modified filtering stages. To assess our power to detect indels more formally, we used variants identified in high-quality fosmid data of a single individual of European ancestry (NA12878 from CEU) (Kidd et al. 2010). Although...
  9. ...the aforementioned PCR-based FDR estimates of 4%–6%). Zichner et al. 572 Genome Research www..org The impact of SVs on genomic annotation The high resolution of our SV map further enabled us to assess the functional impact of our SVs in detail. To this end, we initially investigated functional impact by relating our...
  10. ...purposes, to infer amplified alleles and haplotypes in regions of copy number gain. Our method is designed to handle rare variants and biases in read data. We assess the performance of HATS using simulated amplified regions generated from varying copy number and coverage levels, followed by amplicons...
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