Searching journal content for articles similar to O’Rourke et al. 16 (8): 1005.

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  1. ...provides novel insights into the genomic regulatory landscape underlying antiviral 33 immunity in a farmed fish with a complex . 34 Introduction 35 The innate immune response to viral infection, which is mainly based on the type I interferon 36 (type I IFN) pathway is crucial to both disease progression...
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  2. .... graminearum as a model to explore the biological functions of HMT candidates in cluster 1.Cluster 1 SET domain proteins regulate histone methylation and pathogenicity in F. graminearumF. graminearum harbors 19 SET domain proteins, with seven in cluster 1, 10 in cluster 2, and two in cluster 3 (Supplemental...
  3. ...). These findings suggest that C. nigoni populations may experience substantially higher selection pressure from pathogens in their native environments compared with C. briggsae populations.Genes encoding Cullin-E3 ubiquitin-ligase-adaptors are major contributors to both gene family and genomic sequence divergence...
  4. ...RNA molecules as they exist in vivo. With these data, we set out to address the relative contributions of decapping, deadenylation, and endonucleolytic cleavage, as well as their genetic dependency on SMG-5 and SMG-6.ResultsC. elegans SMG-2 (UPF1), SMG-5, SMG-6, and SMG-7 repress a common set of mRNAsSMG-5, SMG...
  5. ....edu.cnAbstractPredicting phenotypes from genomic mutations remains a major genetic challenge. Traditional statistical methods (such as GBLUP and BayesR) have limitations, including reliance on artificial prior assumptions, and hard to capture epistatic effects. Machine learning (ML) has emerged as a powerful alternative for genomic...
  6. ...assemble CGC1's longest TRs. Because C. elegans lies toward the lower end of genomic complexity for multicellular eukaryotes (https://www.size.com/), the putative TR sequences in automatic assemblies for other eukaryotic s should be viewed with caution; it is likely that large TRs like those of C. elegans...
  7. ...Wenli Xu, Chang Liu, Bing Deng, Penghui Lin, Zhenghua Sun, Anrui Liu, Jiajia Xuan, Yuying Li, Keren Zhou, Xiaoqin Zhang, Qiaojuan Huang, Hui Zhou, Qingyu He, Bin Li, Lianghu Qu and Jianhua Yang Genome Research 32: 1026–1041 (2022)The original version of the Supplemental Material associated...
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  8. ...Medhat Mahmoud1,4, Daniel P. Agustinho1,4 and Fritz J. Sedlazeck1,2,3 1Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA; 2Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA; 3Department of Computer Science, Rice...
  9. ...for ancestry classificationIndividuals that are more closely related in ancestry have spatial autocorrelations in their genomic sequences. This phenomenon is translated into population clusters using dimensionality reduction techniques (Fig. 4). The most common approaches to address ancestry classification...
  10. .... 2009; Conine et al. 2010; Vasale et al. 2010).Both exogenous RNAi and viral infection trigger a silencing response involving the production of exogenous canonical siRNAs in C. elegans (Ketting et al. 2001; Ashe et al. 2013). Furthermore, studies exploring the interplay between RNAi pathways and RNA...
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