Searching journal content for articles similar to Le and Durbin 21 (6): 952.

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  1. ...and genotyped, in parallel, on Illumina Infinium Global Screening Array-24 v3.0 for ∼700,000 SNPs. The array-based genotype calls were considered as truth.GDI applicationIn light of the success of the GDI filtering approach in minimizing the presence of low-quality variants across the largest possible subset...
  2. ...genotypes proximate SNVs, whose locations are extracted from a user-provided VCF catalog file from, for example, dbSNP (Sherry et al. 2001). For diploid alleles, depending on what SNV data are present, STRkit either uses a Gaussian mixture model (GMM) allele-calling approach with copy numbers, segregates...
  3. ..., Garrick D, Gao H, Wang L, Zhao F. 2022. Comparison of genotype imputation for SNP array and low-coverage whole- sequencing data. Front Genet 12: 704118. doi:10.3389/fgene.2021.704118 ↵Doench JG, Fusi N, Sullender M, Hegde M, Vaimberg EW, Donovan KF, Smith I, Tothova Z, Wilen C, Orchard R, et al. 2016...
  4. ...exclude that we have missed some expanded genotypes due to allele dropouts, the centenarians that we included were previously shown to be enriched with the protective alleles in the majority of SNPs associated with AD (Tesi et al. 2024).In summary, otter and TREAT are flexible and accurate bioinformatics...
  5. ...-based SNPs, restricted to microarray sites, instead of relying on the known sequences. Regarding the trios, while two methods were initially considered, ultimately the haploid sequences of the probands used phase-estimated genotyping data of the proband alone to generate the scaffold for the assembly (i...
  6. ...effect of each variant, we transferred existing 3D7 gene models and performed ab initio gene prediction on each parental via the Companion (Steinbiss et al. 2016) annotation server. We then concatenated gene models for each cross and annotated all variants with SnpEff (Cingolani et al. 2012). Taking...
  7. ...+JPT, and YRI for SNPs with MAF 1%–2%. Low-coverage versus high-coverage sequencing designs We have so far shown that low-coverage sequencing of many individuals can be used to detect polymorphic sites and infer genotypes when many individuals are sequenced, each at 23–63 depth. This capability has important...
  8. ...: their limitation in detecting large insertions compared to ONT reads, likely because of increased ONT sequence read length, and their increased recall when assembled even at low coverages. HiFi reads consistently lag behind their ONT counterparts for large insertions, recovering only half of the insertions...
  9. ...and risk for type 1 diabetes (OR = 2.2) (Durinovic-Belló et al. 2010). Notwithstanding these examples, the advent of -wide SNP genotyping arrays led to VNTRs being largely ignored. They have been called “the forgotten polymorphisms” (Brookes 2013).View this table: In this window In a new window Table 1...
  10. ...that represent artifacts of systematic sequencing errors. Additionally, once a SNP has been identified in an individual, relaxed criteria can be used to assign genotypes (detect SNPs at low coverage) in other individuals. Population sequence data can be used for SNP detection even in the absence of accurate base...
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