Searching journal content for articles similar to McGuire et al. 21 (7): 1001.

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  1. ...and the International Cancer Research Consortium (ICGC), have facilitated the development of clinical-grade classifiers that leverage machine-learning episignatures for diagnosing brain tumors (Wu et al. 2022) and certain Mendelian disorders (Sadikovic et al. 2020). While clinical implementation requires careful...
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  2. ...length as a function of the location of the midpoint of each fragment and colored the points based on their local density. The result is a near-nucleotide-resolution -wide view of chromatin occupancy for each deletion strain (Fig. 1D–F).View larger version: In this window In a new window Figure 1. Genome-wide...
  3. ...-in orientations in vitro (Song et al. 2011, 2014). However, to what extent nucleosomes modulate CPD deamination in other sequence contexts and across the of intact cells remains unclear.Genome-wide sequencing methods have emerged as powerful tools to understand how different genomic and chromatin contexts impact...
  4. ...ancestry from the 1000 Genomes Project data set (Phase 3) (The 1000 Genomes Project Consortium 2015), assuming a scaled mutation rate of θ = 0.00075 and scaled recombination rate of ρ = 0.0006, corresponding to an unscaled mutation rate μ = 1.25 × 10−8, an unscaled recombination rate r = 10...
  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. ...result in strong genetic drift with long-lasting -wide consequences on genetic diversity and allele frequencies (Ellegren et al. 2012; The 1000 Genomes Project Consortium 2015; Friis et al. 2018). The genomic background patterns caused by genetic drift make it challenging to identify the typical “genomic...
  7. ...Castel et al. 2010; Pinto et al. 2013). Further, -wide association studies (GWASs) for the age of onset and progression of Huntington's disease have identified mutations in MLH1 (Genetic Modifiers of Huntington's Disease (GeM-HD) Consortium 2015) and MSH3 (Moss et al. 2017) that lead to increased somatic...
  8. ...cell lines of The ENCODE Project Consortium (The ENCODE Project Consortium 2012, The ENCODE Project Consortium et al. 2020) and as a wealth of other functional genomic data exists for them. Because we expected to recover less DNA than for regular ATAC libraries given that KAS-ATAC captures only...
  9. ...-TRs in GTEx v8 data, consisting of WGS of 838 donors and RNA-seq of 15,253 samples from 49 tissues, by using FastQTL (Fig. 1; Supplemental Table S1; Ongen et al. 2016; The GTEx Consortium 2020). TRs were sized using GangSTR, which handles TRs with motifs of up to 20 bp (n = 40,598 after quality control...
  10. ...regulatory roles in DNA methylation (Fig. 1), we first performed a -wide QTL analysis between STR genotypes and DNA methylation levels of nearby CpGs in a discovery cohort of 245 samples collected by the Pediatric Cardiac Genomics Consortium (PCGC). This analysis identified a total of 19,129 pairwise...
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