Searching journal content for articles similar to Gao et al. 30 (8): 1170.

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  1. ...from 96.5% to 96.9% for C. briggsae isolates and from 98.3% to 99.2% for C. nigoni ones, suggesting that the quality is on par with that of the reference s (Supplemental Table S1). To ensure consistency and minimize potential biases in gene family comparisons, we applied a uniform gene prediction...
  2. ...by using population variant data in pan graph references (Garrison et al. 2018; Sirén et al. 2021).Parent-child trios provide evidence of sequence transmission between generations. This helps to identify which variants in the child occurred as de novo mutations, because these variants will generally...
  3. ...genotypes and phenotypes derived from collections of families. GPF allows interactive exploration of genetic variants, enrichment analysis for de novo mutations, phenotype/genotype association tools, and secure data sharing. GPF is used to disseminate two family collection data sets, SSC and SPARK...
  4. ..., is a model of rapid adaptation, however the relative contribution of standing genetic variation versus de novo mutation (DNM) to evolution in this species remains unclear. Here, we use pedigree-based approaches to quantify and characterize germline DNMs in three large guppy families. Our results suggest...
  5. ...of the mammalian . We use whole- sequencing to identify de novo mutations in cohorts of age-matched ART-derived and naturally conceived mice. Our reliance on mice of a single inbred strain background allows us to rigorously control for potential genetic influences and environmental exposures on mutation rates...
  6. ...the likelihood of finding all de novo MEIs. MELT uses a transposon reference file to identify and characterize nonreference MEIs for each transposon family (Gardner et al. 2017). In contrast, RUFUS and the recently published TranSurVeyor identify breakpoints regardless of the transposon family, each producing...
  7. ...asked whether integration of predicted splicing-altering mutations with other genetic evidence can help to formally prioritize NDD-risk genes using a rigorous statistical framework (Methods). Specifically, we used two models to identify candidate risk genes based on the burden of de novo variants, model...
  8. ...in the database (Daubin and Ochman 2004a; Yomtovian et al. 2010; Vakirlis and Kupczok 2024; Pereira et al. 2025).De novo gene birth is the most tractable and traceable of these three routes because it is possible, in principle, to identify the ancestral noncoding sequence from which the new gene formed. Based...
  9. ...that early feature extraction, rather than downstream architecture, is the primary determinant of prediction accuracy. A comprehensive evaluation of these models on ATAC-seq signal prediction at 4-bp resolution in a cell type–specific manner identifies the ConvNeXt-based dilated CNN as the most robust...
  10. ...for Evolutionary Biology, 24306 Plön, Germany Corresponding author: elcortegano@protonmail.comAbstractAll forms of genetic variation originate from new mutations, making it crucial to understand their rates and mechanisms. Here, we use long-read sequencing from Pacific Biosciences (PacBio) to investigate de novo...
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