Searching journal content for articles similar to Biagini et al. 35 (9): 1929.

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  1. .... The EN-TEx resource of multi-tissue personal epis & variant-impact models. Cell 186: 1493–1511.e40. doi:10.1016/j.cell.2023.02.018 ↵Rubinacci S, Hofmeister RJ, Sousa da Mota B, Delaneau O. 2023. Imputation of low-coverage sequencing data from 150,119 UK Biobank s. Nat Genet 55: 1088–1090. doi:10.1038/s...
  2. ...systematically compare study designs based on genotyping of tagSNPs, sequencing of many individuals at depths ranging between 23 and 303 and imputation of variants discovered by sequencing in a subset of individuals into the remainder of the sample. Our results show that low-coverage sequencing provides...
  3. ...and genotyping of population SNPs. We herein provide an integrative pipeline, SNPTools, that applies novel algorithms to detect, impute, and phase SNPs. It has achieved high sensitivity and specificity from low-coverage, whole- sequencing in the 1000G data set. We have designed our pipeline to be flexible...
  4. ...analyses (such as genotype imputation) that rely on phased haplotypes. To further evaluate our approach, we analyzed data on the first 508 individuals sequenced by the SardiNIA sequencing project. Our results show that our method reduces the genotyping error rate by 50% compared with analysis using...
  5. ...face validity to construct validity and improve translational relevance. In addition to the biomedical implications, knowledge of intraspecies genetic variation in this widely distributed primate will inform analyses of the ecological, demographic, and population genetic factors that drive differences...
  6. ..., and Arabidopsis. Before the availability of such data, several -wide studies have been completed using Sanger sequencing (e.g., Bustamante et al. 2005; Begun et al. 2007) or SNP genotyping (Hinds et al. 2005; The International HapMap Consortium 2005, 2007; Jakobsson et al. 2008; JZ Li et al. 2008). The low-coverage...
  7. ...and HET calls. For single-nucleotide variants (SNVs), both imputation methods performed comparably across all coverage levels, with each achieving F1 scores above 0.9 even at low coverage. For indel variants, a similar pattern was observed, though Beagle showed slightly higher F1 scores at higher...
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  8. ...sequencing in a natural population (the “ Drosophila melanogaster Genetic Reference Panel,” DGRP). Most SVs (>90%) were inferred at nucleotide resolution, and a large fraction was genotyped across all samples. Comprehensive analyses of SV formation mechanisms using the short-read data revealed...
  9. ...restrictive permissions, the 1kGP and HGDP s remain the most uniquely valuable resources for many of the most common genetic analyses. These include genetic simulations, ancestry analysis including local ancestry inference (Maples et al. 2013), genotype refinement of low-coverage s (Rubinacci et al. 2021...
  10. ...), most recent analyses are consistent with a dual origin of domestication from east and west Eurasia that continues to shape the population structure of modern dogs today (Bergström et al. 2022).Breed-associated differences in morphology and behavior have garnered particular interest and are often...
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