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  1. ...of lower complexity (Fig. 2C). The distribution of the SV sizes suggests good representation of each SV type (Supplemental Fig. S2).View larger version: In this window In a new window Figure 2. Validation statistics on simulated and clinical karyotypes. Each plot displays a 3D histogram of Jaccard score...
  2. ...of the alterations in this proband are typical for this condition (Okur et al. 2021).View larger version: In this window In a new window Figure 1. Karyotype of the invdupdel(8p) proband iPSC line. (A) Schematic listing commonly observed symptoms in individuals affected by invdupdel(8p). (B) Diagram delineating...
  3. ...to generate animated visualizations of single-cell interactions and provides flexibility in modifying agent behavior rules, facilitating thorough exploration of both close and distant cellular communications. Furthermore, CellAgentChat leverages ABM features to enable intuitive in silico perturbations via...
  4. ..., scRNA-seq captures gene expression profiles, whereas scDNAm data reflects DNAmethylation levels. These biologically rooted representational differences can lead to misaligned embeddings for the same cell type across modalities. To enforce modality-consistent and translatable latent representations...
  5. ...of the upregulated genes affected by HBV integration, suggesting that HBV-Enh I plays an important role in gene transcriptional activation.View larger version: In this window In a new window Figure 7. Cis-activation role of HBV-Enh I. (A) Schematic representation of the HBV integration locus and the constitution...
  6. ...in the three-dimensional (3D) chromatin structure in turtles compared to other amniotes beyond the fusion/fission events detected in the linear s. Namely, whole- comparisons revealed distinct trends of chromosome rearrangements in turtles: (1) a low rate of reshuffling in Apalone (Trionychidae) whose karyotype...
  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. ...the chromosomal distribution of the low-copy-number satellites obtained in silico, we experimentally analyzed six of them with a proportion between 0.01% and 0.05%. We found that satDNAs with a proportion higher than 0.02% had a broader chromosomal distribution (Supplemental Fig. S3A–C), whereas sat...
  9. ...In silico phylogenomics using complete genomes: a case study on the evolution of hominoids Igor Rodrigues Costa 1 , 3 , Francisco Prosdocimi 1 , 3 and W. Bryan Jennings 2 1Laboratório de Genômica e Biodiversidade, Instituto de Bioquímica...
  10. ..., and protein levels. These include both handcrafted features and embeddings from large language models to support advanced representation learning. To prioritize pathogenic sSNVs, we have developed SynScore, a machine learning framework that integrates ACMG guidelines and diverse biological characteristics...
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