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  1. ...nucleotide polymorphisms (SNPs).View larger version: In this window In a new window Figure 1. Methods to detect -wide 5mC. DNAm can be detected through enrichment, bisulfite conversion, enzymatic modification, or single-molecule approaches. (A) Enrichment methods use restriction enzymes...
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  2. ...continues to pose difficult challenges. In this paper, we present PolyScan, an algorithm and software implementation designed to provide de novo heterozygous indel detection and improved SNP identification in the context of high-throughput medical resequencing. Tests on a human diploid PCR-based sequence...
  3. ...associations. Tools such as ANNOVAR (Wang et al. 2010), SnpEff (Cingolani et al. 2012), and Ensembl Variant Effect Predictor (VEP; Hunt et al. 2022) are commonly used, enabling researchers to systematically annotate variants with known functional effects or potential impacts on genes and regulatory elements...
  4. ...sizes (CESs) compared with dbSNP polymorphisms (Supplemental Figs. 15, 16; Supplemental Note 5; Supplemental Code 1). In addition, FIE genes were depleted in germline missense mutations (P = 0.002, Welch's t-test) compared with genes without FIEs, indicating negative selection for germline missense...
  5. ...-hot encoded) and are the data of the ath haplotype of individual i in window w with L being the number of SNPs. Here describes the learned mean latent encoding of a given haplotype cluster, y, in the generative model, and is the learned mean reconstruction of the mean latent encoding.Ancestry proportions...
  6. ...) endangered, (NT) near threatened, (*) unpublished. Images by C. Buell.Detailed phylogenomic analyses using whole- SNP and sequence data have clarified that rampant ancient gene flow is likely the primary cause underpinning the previous challenges in resolving the cat family tree (Fig. 1). Traces of past...
  7. ...sampling of these populations, along with adequate phenotyping, will likely lead to new genotype–phenotype discoveries (Surbakti et al. 2020).Interpretation of variant effectsIn trait mapping, the single nucleotide polymorphisms (SNPs) with the strongest phenotype association are often within the noncoding...
  8. ...Biosciences “HiFi” technology on 96 short-read-negative probands with rare diseases that were suspected to be genetic. We generated hg38-aligned variants and de novo phased assemblies, and subsequently annotated, filtered, and curated variants using clinical standards. New disease-relevant or potentially...
  9. ...a profile of k-mer similarities which is distinct from that due to SNPs, making it 79 possible to estimate distances for core and accessory separately by fitting the 80 pattern of distance profiles across multiple k-mer lengths. 81 82 Two machine learning algorithms, Bayesian Gaussian Mixture Model (BGMM...
  10. ...). Indeed, although a typical person has more SNPs than any other class of mutations, the total number of bases that are mutated, and hence the largest aspect of genetic diversity in a person, is mostly due to copy number and other structural variations (Sebat et al. 2004; Zarrei et al. 2015). Finally...
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