Searching journal content for articles similar to Lappalainen 25 (10): 1427.

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  1. ...Albo.Mosquitoes have a major translational impact on human health, yet genomic characterizations of the culicine mosquitoes have lagged because their significantly larger s are inflated by repetitive elements. New genomic approaches such as high-throughput long-read and Hi-C sequencing may bridge scaffolding gaps...
  2. ...'Histoire Naturelle, Structure et Instabilité des Génomes, UMR7196, Paris 75231, France; 4Institut Universitaire de France, Paris 75005, France Corresponding author: julien.mozziconacci@mnhn.frAbstractGenetically modified s are often used today in many areas of fundamental and applied research. In many studies...
  3. ...assembly genetically interact with each other. For example, human CENPC requires CENPA for assembly, but CENPT Figure 5. CENPT and CENPC bridge the gap between adjacent CENPA nucleosomes over the CENPB box on young α-satellite dimers. (A) Mapping of X-ChIP merged pairs to previously characterized α...
  4. ..., and genomic data acquired from 254 maize hybrids grown under two watering conditions. Using association genetics and protein coexpression analysis, we detected more than 22,000 pQTLs across the two conditions and confidently identified 15 loci with potential pleiotropic effects on the proteome. We showed...
  5. ...to bridge this gap by testing combinations of common and rare haplotypes based purely on their ancestral relationships. In parallel work, we have developed an efficient local ancestry inference engine and a novel statistical method (LOCATER) for combining signals present on different branches of a locus...
  6. ...Livestock genomics comes of age. M Georges and L Andersson Department of Genetics, Faculty of Veterinary Medicine, University of Liège, 4000-Liège, Belgium. Abstract Footnotes Copyright © Cold Spring Harbor Laboratory Press M...
  7. ...additive and epistatic effects. To bridge the gap between algorithmic advancements and biological interpretability, we have developed artificial intelligence genomic prediction (AIGP), an open-source end-to-end toolkit for genomic prediction research. Our findings highlight the potential of ML for genomic...
  8. ...methods. Bridging that gap would require reformulating their training objectives and validation signals for cell-level pathology detection (e.g., adding cell-level constraints, pseudolabels, or alternative losses), which we view as important future work.Despite these limitations, our findings establish sc...
  9. ...These authors contributed equally to this work. Corresponding author: andrew.jones@liverpool.ac.ukAbstractThe rice underpins fundamental research and breeding, but the Nipponbare (japonica) reference does not fully encompass the genetic diversity of Asian rice. To address this gap, the Rice Population Reference...
  10. ...a prioritization of functionally relevant driver genes. Tissue-specific recalibration increases detection of known disease-relevant processes. Altogether, our method provides a novel view on DE and contributes toward bridging the existing gap between statistical and biological significance. We believe...
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