Searching journal content for articles similar to Chi et al. 23 (3): 509.

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  1. ...when genomic data are outsourced to perform analysis tasks, for example, genotype imputation services and federated collaborations genomic analysis. Although numerous cryptographic methods have been developed, these methods may not yet be practical for population-scale tasks in terms of computational...
  2. ...sketching to develop a fast and efficient LMM method called Matrix-Sketching LMM (MaSk-LMM) by sketching the genotype matrix to reduce its dimensions and speed up computations. Our framework comes with both theoretical guarantees and a strong empirical performance compared to the current state...
  3. ...-based approach to impute gene expression on a transcriptome-wide level. After rigorous computational benchmarking, we applied our approach to infer missing data points in the widely used BrainSpan resource and completed the entire grid of spatiotemporal transcriptomics. Next, we conducted deconvolutional...
  4. ...the secure processing of users’ data, without requiring complete trust in the SP and their security precautions. For example, recent work (Dokmai et al. 2021) has shown that genotype imputation can be securely and accurately performed within trusted execution environments (TEEs) (Sabt et al. 2015). TEEs...
  5. ...(Horton et al. 2023). Direct STR genotyping at a scale is thus valuable; STRs cannot always be imputed using SNVs (Gymrek et al. 2016; Saini et al. 2018), as SNV–STR linkage disequilibrium (LD) is lower than SNV–SNV pair LD (Willems et al. 2014; Press et al. 2018). Examination of STR variation...
  6. ...samples on the MGISEQ-T7 platform (PE150 model). BaseVar version 1.01 (Liu et al. 2018) and STITCH version 2.0 (Davies et al. 2016) were used to impute genotypes. SNPs with minor allele frequency (MAF) < 0.05, call rate (CR) <0.95, and individuals with a CR <0.90 were excluded from further analyses. LD...
  7. ...in dimensionality reduction and data simulation. These individual genotype sequences can then be decomposed into latent representations and reconstruction errors (residuals), which provide a sparse representation useful for lossless compression. We show that different populations have differentiated compression...
  8. ...mays L.) nested association mapping (NAM) population (McMullen et al. 2009; Gage et al. 2020) provides a valuable resource to link genotypic variation with phenotypic variation using computationally folded protein structures with affordable computing resources. The s of 26 NAM founder lines have been...
  9. ...trained on simulated data to detect adaptive introgression by classifying local genotype matrices as adaptively introgressed or not. genomatnn takes a 2D SNP matrix as input (haplotypes x sites), representing the presence or absence of the derived allele at a given site per haplotype (or per unphased...
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  10. ...the genotype vector of the LOCATER lead marker (Chr 18: 49,653,146), thus removing signal that can be accounted for by the SMT subtest. Connected dots show the phenotype value of individuals assigned to significant sprigs. (D) Dendrogram generated from the haplotype-level local distance matrix at the lead...
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