Searching journal content for articles similar to Kleinert and Kircher 32 (4): 766.

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  1. .... Corresponding authors: smontgom@stanford.edu, mschatz@cs.jhu.edu, wheelerm@stanford.edu, ajbattle@jhu.eduAbstractRare structural variants (SVs)—insertions, deletions, and complex rearrangements—can cause Mendelian disease, yet they remain difficult to accurately detect and interpret. We sequenced and analyzed...
  2. ...12504, USA Corresponding author: selmecki@umn.eduAbstractThe human fungal pathogen Candida albicans poses a significant burden on global health, causing high rates of mortality and antifungal drug resistance. C. albicans is a heterozygous diploid organism that reproduces asexually. Structural variants...
  3. ....In this study, we introduce a scalable computational framework for predicting gene expression (ScPGE) from discrete cCREs identified by the Encyclopedia of DNA Elements (ENCODE). ScPGE first assembles DNA sequences, TF binding scores, and epigenomic tracks from discrete cCREs into three 3D tensors, respectively...
  4. ...reflectance. (D) The expression of ABCG2 across all tissues and eggshell reflectance stratified by the genotype of variant 4_45302323. Both expression levels and phenotypic values are shown as Z-score standardized values. Asterisks indicate significant differences between genotypes (Wilcoxon test, P < 0...
  5. ...biological functions (Le and Maizel 1997; Cheng et al. 2001). The VAE-GMM k-mer clustering model, by combining deep neural networks with probabilistic clustering and dimensionality reduction techniques, offers a promising framework for decoding high-dimensional RNA sequence structures and uncovering latent...
  6. ..., and short-term memory, which was accompanied by structural defects in synapse development (Fliedner et al. 2020). This finding helped to establish SCAF4 as a novel neurodevelopmental disease gene in humans.Studying the functional impact of coding variants based on “humanizing” fly genesWhereas studying...
  7. ...1 score across PacBio HiFi, CLR, and ONT platforms, while maintaining high genotyping accuracy (>98%) across nearly all data sets. FocalSV also showed robust performance across a broad range of SV sizes and evaluation criteria, highlighting its versatility for structural variant analysis in long...
  8. ...health outcomes are limited. To overcome this challenge, we introduce a novel framework, Predictive Risk modeling using Mendelian Randomization (PRiMeR), which utilizes genetic effects as supervisory signals to learn disease risk predictors without relying on longitudinal data. To do so, PRiMeR leverages...
  9. ...A Chinese indicine pan reveals a wealth of novel structural variants introgressed from other Bos species Xuelei Dai1,8, Peipei Bian1,8, Dexiang Hu1,8, Funong Luo1,8, Yongzhen Huang1,8, Shaohua Jiao1, Xihong Wang1, Mian Gong1, Ran Li1, Yudong Cai1, Jiayue Wen1, Qimeng Yang1, Weidong Deng2, Hojjat...
  10. ...metrics (Gough et al. 2018; Plassais et al. 2019; Dutrow et al. 2022; Morrill et al. 2022).In humans, candidate trait and disease variants are generally identified using a combination of strategies, including multiple species alignment, protein structure predictions, gene mutation tolerance, and machine...
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