Searching journal content for articles similar to Leonard et al. 34 (2): 300.

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  1. ...associated with breast cancer risk (Helgadottir et al. 2021) and somatic variation in relapsed pediatric acute lymphoblastic leukemia (Sayyab et al. 2021).In this study, we aim to evaluate the improvement of mapping short-read WGS data to the new T2T-CHM13 reference compared to the reference s...
  2. ..., and contrast several metrics (including the LD structure and the SNP entropy) of the simulated sequences with that of real sequences as a genotype simulation quality assessment.MethodsVariational autoencodersRepresentation learning, also known as feature learning, attempts to recover a compact set of so...
  3. ...Lake Malawi cichlid pan graph reveals extensive structural variation driven by transposable elements Fu Xiang Quah1,2, Miguel Vasconcelos Almeida1, Moritz Blumer2, Chengwei Ulrika Yuan1,2, Bettina Fischer2, Kirsten See1, Ben Jackson2, Richard Zatha3, Bosco Rusuwa3, George F. Turner4, M. Emília...
  4. ...the data into “guided” components (directly linked to provided labels such as batch or phenotypic condition), as well as an “unguided” component that captures shared residual variation (Fig. 1B; Methods). This dual strategy enables ALPINE to not only reconstruct the original data accurately but also...
  5. ..., spotting, and depigmentation patterns. The assumed autosomal dominant inherited genetic variants underlying the characteristic white head of Fleckvieh, Simmental, and Hereford cattle have not been identified yet, although the contribution of structural variation upstream of the KIT gene has been proposed...
  6. ...within reads (Narzisi and Schatz 2015; Mousavi et al. 2019), affecting mappability to a reference . Some SRS STR genotyping tools can estimate larger-than-read-length allele sizes (Dolzhenko et al. 2017; Dolzhenko et al. 2019; Mousavi et al. 2019) but cannot capture variation in motif structure nor...
  7. ...and updates structured knowledge from recent literature. Beyond human data, SynMall incorporates sSNVs from non-human species: (1) it collects vertebrate sSNVs from multiple sources and maps them onto the human via MSA; (2) it also integrates genotype–phenotype associations for sSNVs from economically...
  8. ...that structural variations (SVs), including large (>30-bp) deletions (DELs), insertions (INSs), duplications (DUPs), inversions (INVs), and translocations (TRAs) (Feuk et al. 2006), greatly contribute to crop phenotypic diversity and selection for physiological and morphological phenotypes (Alonge et al. 2020; Li...
  9. ...flexible penalization based on the number of edges found in the network, which aids in the identification of a network structure that improves the discovery of true gene-gene interactions while reducing false positives (Huang et al. 2020). Here, we focus on improving the statistical power of network...
  10. ...with hundreds of species and tens of thousands of genes. ERC2.0 improves upon previous iterations of ERC in algorithm speed, normalizing for heteroskedasticity, and normalizing correlations via Fisher transformations. These improvements have resulted in greater statistical power to predict biological function...
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