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  1. ...to that of a separate wild-type sample in terms of nucleosome and TF occupancy across all genes (R = 0.91 for nucleosome occupancy and R = 0.89 for TF occupancy), as well as their MNase fragment lengths and positions (Supplemental Fig. S2). By incorporating the full variability of MNase digestion and sequencing depth...
  2. ...al. used LRS to confirm Lynch syndrome in a patient by detecting constitutional MLH1 promoter methylation in blood. Somatic loss of heterozygosity (LOH) in the patient's tumor led to the loss of the wild-type MLH1 allele, leaving only the methylated allele (O'Neill et al. 2024).Repeat expansion...
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  3. ...of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers. Nat Genet 46: 1311–1320. doi:10.1038/ng.3142 ↵Crawford GE, Holt IE, Whittle J, Webb BD, Tai D, Davis S, Margulies EH, Chen Y, Bernat JA, Ginsburg D, et al. 2006. Genome-wide mapping of DNase...
  4. ...), suggestive of breakage-induced end restructuring.View larger version: In this window In a new window Figure 2. Localized complex chromosomal structural variations at damaged centromeres in wheat ditelosomic lines. (A–C) Genomic-wide resequencing read depth analysis around centromere breakpoints...
  5. ...classifier for -wide detection. The limitation of the supervised classification framework primarily manifests in its detection speed and relatively small reception fields. Genome-wide detection with a binary classifier can be computationally inefficient as the small window causes scanning to be resource...
  6. ...cytosine bases derived from UV-induced CPD lesions.Genome-wide map of CPD deamination in repair-deficient yeast cellsAlthough our aim was to analyze CPD deamination over a 48 h time course in nucleotide excision repair (NER)–deficient (i.e., rad14Δ) yeast cells, these cells are very sensitive to UV...
  7. ...window Figure 2. Genome-wide diversity and differentiation for common voles, M. arvalis, from the Orkney archipelago (brown) versus continental individuals (green). Density distributions (top) and Manhattan plots (bottom) for π, Tajima's D, and FST in 50 kb windows along the . Different chromosomes...
  8. ...at the scale of tens of thousands to millions of individuals. With decreasing costs of sequencing, low-pass (at coverage <1×) whole- sequencing followed by imputation has become a cost-effective alternative for trait mapping and estimation of polygenic scores (PGSs) (Martin et al. 2021; Wasik et al. 2021...
  9. ...by making changes to both host and viral genetic regulatory network.MethodsCell culture, virus strain, and infectionBmN cells were cultured at 27°C in SF900 II SFM (Gibco) supplemented with 3% fetal bovine serum (FBS; Gibco). The T3 strain of BmNPV was maintained in our laboratory and used as the wild...
  10. ..., described in Supplemental Table S5. OMKar automates the interpretation as follows (see Supplemental Section S3.5): It aligns SVs in reconstructed chromosomes with their wild-type (WT) counterparts, identified by centromeric or segmental makeup. It uses the longest common subsequence algorithm to create...
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