Showing 1,281 - 1,300 results of 6,564 for search '"genomic"', query time: 0.07s Refine Results
  1. 1281

    Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

    Published 2025-02-01
    “…The current study employed a comprehensive approach, combining genome-wide association analyses (GWAS) and deep learning (DL) methods, to elucidate the genetic underpinnings of pharmacological treatment response in ADHD. …”
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    Article
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    Development and validation of highly sensitive multiplex real-time RT-PCR assay for detection of classical swine fever virus genome by A. S. Sadchikova, A. S. Igolkin, R. S. Chernyshev, A. A. Kozlov, I. S. Kolbin, A. V. Sprygin, D. A. Biryuchenkov, I. A. Chvala, A. Mazloum

    Published 2024-09-01
    “…Modified primers (locked nucleic acids containing conformationally blocked nucleosides) providing a higher affinity to the DNA matrix and physico-chemical stability and a FAM-labeled TaqMan probe were selected for 5’-untranslatedregion of the genome. The following validation parameters were defined: accuracy, repeatability, reproducibility, specificity and sensitivity. …”
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  4. 1284

    Comparison of human-induced pluripotent stem cell-derived macrophages with peripheral blood-derived macrophages using single-cell genomics by ZHANG Yutong, HOU Guojun, SHEN Nan

    Published 2024-12-01
    “…Objective·To explore the heterogeneity in single-cell genomics between human-induced pluripotent stem cell (iPSC)-derived macrophages (IPSDM) and human peripheral blood-derived macrophages (PBDM).Methods·iPSCs were differentiated into IPSDMs in vitro using a feeder-free and serum-free protocol. …”
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    Source attribution of human campylobacteriosis at the point of exposure by combining comparative exposure assessment and subtype comparison based on comparative genomic fingerprinting. by André Ravel, Matt Hurst, Nicoleta Petrica, Julie David, Steven K Mutschall, Katarina Pintar, Eduardo N Taboada, Frank Pollari

    Published 2017-01-01
    “…It combined comparative exposure assessment and microbial subtype comparison with subtypes defined by comparative genomic fingerprinting (CGF). It used isolates from clinical cases and from eight potential exposure sources (chicken, cattle and pig manure, retail chicken, beef, pork and turkey meat, and surface water) collected within a single sentinel site of an integrated surveillance system for enteric pathogens in Canada. …”
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    Meta-QTL analysis reveals the important genomics regions for biotic stresses, nutritional quality and yield related traits in pearl millet by Shreshth Gupta, Sagar Krushnaji Rangari, Aakash Sahu, Yogesh Dashrath Naik, C. Tara Satayavathi, Somashekhar Punnuri, Mahendar Thudi

    Published 2024-04-01
    “…To identify highly stable consensus genomic regions, we conducted Meta-QTL analysis using 191 QTLs reported in 12 independent studies over the last two decades. …”
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  10. 1290

    Genomic signatures of selection in Brangus cattle revealing the genetic foundations of adaptability and production traits using a breed of origin approach by Gabriel A. Zayas, Raluca G. Mateescu

    Published 2025-01-01
    “…From a research perspective, this makes Brangus an ideal model for identifying genomic signatures that reveal the effects of both artificial selection and natural adaptation. …”
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  11. 1291

    Whole-Genome Sequence of Chelatococcus daeguensis Strain M38T9, Isolated from Ulu Slim Hot Spring in Malaysia by Yi Xian Goh, Kok Gan Chan, Kar Wai Hong

    Published 2022-08-01
    “…The GC content of the genome is 67.91 %, and the sequencing coverage of 184×. …”
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    Regulation and Function of the Peg3 Imprinted Domain by Hongzhi He, Joomyeong Kim

    Published 2014-09-01
    Subjects: “…genomic imprinting…”
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