Showing 341 - 360 results of 686 for search '"genomes"', query time: 0.06s Refine Results
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    Evolution of SARS-CoV-2 in white-tailed deer in Pennsylvania 2021-2024. by Andrew D Marques, Matthew Hogenauer, Natalie Bauer, Michelle Gibison, Beatrice DeMarco, Scott Sherrill-Mix, Carter Merenstein, Ronald G Collman, Roderick B Gagne, Frederic D Bushman

    Published 2025-01-01
    “…From the 165 SARS-CoV-2 positive WTD, we recovered 25 whole genome sequences and an additional 17 spike-targeted amplicon sequences. …”
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    Article
  3. 343

    Surveillance of SARS-CoV-2 variants in Henan, China from 2023 to 2024 by Yun Song, Bicong Wu, Hongxia Ma, Yafei Li, Su Yan, Jingjing Pan, Haifeng Wang, Ying Ye, Xueyong Huang, Wanshen Guo

    Published 2025-02-01
    “…Genome sequence analysis was performed with CLC Genomics Workbench, and genotyping and sequence alignment were carried out using the Nextclade platform. …”
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    Charcot-Marie-Tooth disease: A case report initially manifested by bilateral vocal cord paralysis by Seyed Hossein Mirlohi, Sanaz Tajfirooz, Mitra Rouhi

    Published 2025-01-01
    “…Diagnosis was confirmed through whole genome sequencing, revealing mutations in genes associated with the disorder.…”
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    Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression by Joseph M. Josephides, Chun-Long Chen

    Published 2025-02-01
    “…Abstract Genomic heterogeneity has largely been overlooked in single-cell replication timing (scRT) studies. …”
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    AAV-based vectors for human diseases modeling in laboratory animals by Timur I. Aliev, Dmitry V. Yudkin

    Published 2025-02-01
    “…This review analyzes the features of the adeno-associated virus genome that make it an advantageous vector for transgenesis. …”
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  15. 355

    DNA methylation and its influence on the pathogenesis of osteoarthritis: a systematic literature review by Thomas Nau, Samira Cutts, Nerissa Naidoo

    Published 2025-02-01
    “…Others reported on the association between OA risk genes and DNA methylation. Genome-wide methylation studies reported on differentially methylated regions (DMRs) comparing OA and non-OA chondrocytes. …”
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    Impact of developmental state, p53 status, and interferon signaling on glioblastoma cell response to radiation and temozolomide treatment. by Artem Berezovsky, Oluwademilade Nuga, Indrani Datta, Kimberly Bergman, Thais Sabedot, Katherine Gurdziel, Susan Irtenkauf, Laura Hasselbach, Yuling Meng, Claudius Mueller, Emanuel F Petricoin, Stephen Brown, Neeraja Purandare, Sidhesh Aras, Tom Mikkelsen, Laila Poisson, Houtan Noushmehr, Douglas Ruden, Ana C deCarvalho

    Published 2025-01-01
    “…Glioblastoma (GBM) tumors exhibit extensive genomic, epigenomic, and transcriptional diversity, with significant intratumoral heterogeneity, complicating standard treatment approaches involving radiation (RT) and the DNA-alkylating agent temozolomide (TMZ). …”
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    Human microbiome, applied to clinical practice by V. T. Ivashkin, K. V. Ivashkin

    Published 2018-08-01
    “…The Human microbiome project was designed for identification and characterization of set of human microorganisms as well as for studying the changes in the human health due to microbiome changes. The Human Genome Project assumes: development of the human genome variations database (HapMap; Human Variome Project), interpretation of human phenotype differences (Encyclopedia Of DNA Elements), modeling of human phenomenon (RECON), interpretation of epigenetic variants and hereditary changes in phenotypical manifestations. …”
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  19. 359

    ADAM-multi: software to simulate complex breeding programs for animals and plants with different ploidy levels and generalized genotypic effect models to account for multiple allel... by Thinh Tuan Chu, Thinh Tuan Chu, Just Jensen

    Published 2025-02-01
    “…Along with the description of the updated simulation model in ADAM-Multi, this paper shows two small-scale studies that investigate the effects of multi-allelic versus bi-allelic assumptions in simulation and the use of different prediction models in a single-population breeding program for potatoes. We found that genomic models using dense bi-allelic markers could effectively predicted breeding values of individuals in a well-structure population despite the presence of multi-allelic QTL. …”
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