Searching journal content for articles similar to Weiss 8 (7): 691.

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  1. ...search approach to find optimal trees. ScisTree2 also calls single-cell genotypes based on the inferred cell lineage tree. Experiments on simulated and real biological data show that ScisTree2 achieves better overall accuracy while being significantly more efficient than existing methods. To the best...
  2. ...High-resolution, genotype-free mapping of genetic 1 variation with CRI-SPA-Map 2 3 Sheila Lutz*, Megan Lawler†, Samuel Amidon†, Frank W. Albert* 4 Department of Genetics, Cell Biology, & Development, 5 University of Minnesota, 6 6-160 Jackson Hall, 321 Church St SE 7 Minneapolis, MN 55455, USA 8...
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  3. ...annotation databases offer limited functional insights for sSNVs. Here, we present SynMall, a comprehensive resource designed to decipher the functional impact of synonymous variation. SynMall catalogs 25 million potential human sSNVs and integrates evolutionary and population information of sSNVs from 45...
  4. ...genetic variation impacts transcription factor (TF) binding remains a major challenge, limiting our ability to model disease-associated variants. Here, we used a highly controlled system of F1 crosses with extensive genetic diversity to profile allele-specific binding of four TFs at several time points...
  5. ...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...
  6. ...variation in the intensity in TS across animals, it is important to refer to population genetic principles (Ohta 1996). Indeed, the SCU in a given reflects a balance between selection favoring translationally optimal codons and the effects of mutation and drift, allowing the fixation of nonoptimal codons...
  7. ...basis for individual differences in disease-related traits and to more precisely associate phenotypic variation with genetic variation. These applications require uniformly dense information on genotypic variation across populations. However, the s of most mouse inbred strains and intercross progeny...
  8. ...why the transcriptome shows signs of aging in some cell types but not others. Through analysis of mouse single-cell transcriptome data across diverse tissues and ages, we find that cellular age explains a large proportion of the variation in the age-related increase in transcriptome variance. We...
  9. ...single-cell integration (scInt), an integration method based on accurate, robust cell–cell similarity construction and unified contrastive biological variation learning from multiple scRNA-seq data sets. scInt provides a flexible and effective approach to transfer knowledge from the already integrated...
  10. ...regions in S. cerevisiae. We searched -wide for recurrent large-effect QTLs whose confidence intervals contained structural variation >250 bp (Supplemental Table S2). Although most recovered loci were subtelomeric, we also identified previously known copy number variants in CUP1 and the ENA locus...
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