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  1. ...technologies fail in the same regions of the D. melanogaster Y ChromosomeKim et al. (2024) recently published an extensive ONT sequencing data set of many Drosophila species, including a 400× coverage of the reference D. melanogaster strain (iso-1). The D. melanogaster data set was generated using ONT Q20+ (10...
  2. ...-derived sequences (Lipatov et al. 2005). A recent transcriptome-wide study identified 327 genes in Drosophila melanogaster that generate chimeric transcripts across different populations (Oliveira et al. 2023). Among all genes, 76 generate chimeric transcripts from TE insertions that were present in one strain...
  3. ...for understanding genetic variation. Here, we report the assembly and variation analysis of such repetitive regions in Drosophila melanogaster, offering significant improvements to the existing community reference assembly. Our work successfully recovers previously elusive segments, including complete...
  4. ...chromatin than previously profiled Drosophila tissues (Supplemental Fig. S9A,B). Genome-wide analyses have shown that the majority of Pc binding sites in other Drosophila tissues are located outside of H3K27me3-marked domains (Orsi et al. 2014; Loubiere et al. 2016; Brown et al. 2018). Promoter-proximal Pc...
  5. ...stem cells (CySCs), the Drosophila testis provides an excellent in vivo model for studying adult stem cells. However, the small number of stem cells and the cellular heterogeneity of this tissue have limited comprehensive genomic studies. In this study, we develop cell-type-specific genomic techniques...
  6. ...effort to reproduce the C. elegans reference from an isogenic derivative of N2 (Table 1), which we published in 2019 as VC2010 (Yoshimura et al. 2019). VC2010 reproduced 100.3 Mb of N2 sequences with 99.98% identity but also contained an extra 1.8 Mb of genomic sequence, along with 10 genomic regions we...
  7. ....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...
  8. ...organisms. For model training, we mainly focused on six species: Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster, Escherichia coli, Geobacillus subterraneus, Geobacter pickeringii. The respective positive sample counts for these species are 125,628, 68,917, 109,289, 2068, 14...
  9. ...in Drosophila melanogaster, much less is known about the origin and evolution of piCs in this or any other species. To investigate piC origin and evolution, we use a population genomic approach to compare piC activity and sequence composition across eight geographically distant strains of D. melanogaster...
  10. ...significance (GUS) that are difficult to interpret, even with the integration of the latest bioinformatic tools. In this Perspective, we review how studies using the fruit fly Drosophila melanogaster have facilitated rare disease diagnosis by uncovering the clinical relevance of GUS and classifying rare...
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