Showing 681 - 700 results of 2,943 for search '"ENCODE"', query time: 0.05s Refine Results
  1. 681

    Construction of Shoot Apical Meristem cDNA Yeast Library of <i>Brassica napus</i> L. and Screening of Proteins That Interact with the Inflorescence Regulatory Factors BnTFL1s by Lingxiong Zan, Haidong Liu, Xutao Zhao, Dezhi Du, Kaixiang Li

    Published 2024-12-01
    “…<i>BnTFL1s</i> (<i>BnaA10.TFL1</i> and <i>BnaC09.TFL1</i>), which encode the transcription factor <i>TERMINAL FLOWER 1 (TFL1),</i> have previously been identified as candidate genes controlling this trait through map-based cloning. …”
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  2. 682

    TransformerPayne: Enhancing Spectral Emulation Accuracy and Data Efficiency by Capturing Long-range Correlations by Tomasz Różański, Yuan-Sen Ting, Maja Jabłońska

    Published 2025-01-01
    “…Analysis of TransformerPayne's attention maps revealed that they encode interpretable features common across many spectral lines of chosen elements. …”
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  3. 683

    Synaptic enrichment and dynamic regulation of the two opposing dopamine receptors within the same neurons by Shun Hiramatsu, Kokoro Saito, Shu Kondo, Hidetaka Katow, Nobuhiro Yamagata, Chun-Fang Wu, Hiromu Tanimoto

    Published 2025-01-01
    “…In the fruit fly Drosophila melanogaster, Dop1R1 and Dop2R encode the D1- and D2-like receptors, respectively, and are reported to oppositely regulate intracellular cAMP levels. …”
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  4. 684

    Avirulence depletion assay: Combining R gene-mediated selection with bulk sequencing for rapid avirulence gene identification in wheat powdery mildew. by Lukas Kunz, Jigisha Jigisha, Fabrizio Menardo, Alexandros G Sotiropoulos, Helen Zbinden, Shenghao Zou, Dingzhong Tang, Ralph Hückelhoven, Beat Keller, Marion C Müller

    Published 2025-01-01
    “…Wheat resistance breeding frequently relies on the use of resistance (R) genes that encode diverse immune receptors which detect specific avirulence (AVR) effectors and subsequently induce an immune response. …”
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  5. 685

    Using informative priors to account for identifiability issues in occupancy models with identification errors by Monchy, Célian, Etienne, Marie-Pierre, Gimenez, Olivier

    Published 2025-01-01
    “…Through simulations, we compare different prior choices that encode varying levels of information, ranging from cases where no prior knowledge is available, to instances with accurate metrics on the performance of the identification, and scenarios based on generally accepted assumptions. …”
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  6. 686

    Lake salinization on the Qinghai–Tibetan Plateau alters viral community composition and lifestyles by Yuan-Guo Xie, Yan-Ling Qi, Zhen-Hao Luo, Yan-Ni Qu, Jian Yang, Shi-Qiang Liu, Hai-long Yang, Dan-Wei Xie, Zimeng Wang, Hong-Chen Jiang, Zheng-Shuang Hua

    Published 2025-01-01
    “…These shifts are mirrored in the prokaryotic communities, with Alphaproteobacteria and their infecting temperate viruses, notably Casadabanvirus, becoming more prevalent in higher salinity zones. Viral genomes encode genes associated with osmotic stress adaptation, DNA recombination, and nutrient transport, which may facilitate host adaptation to saline stress. …”
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  7. 687

    Candidate genes for productivity identified by genome-wide association study with indicators of class in the Russian meat merino sheep breed by A. Y. Krivoruchko, O. A. Yatsyk, E. Y. Safaryan

    Published 2020-12-01
    “…Determining the location of the analyzed SNPs relative to the latest annotation Oar_rambouillet_v1.0 allowed to identify 11 candidate genes presumably associated with the formation of a complex of phenotypic traits of animals in the exhibition group: RXFP2, ALOX5AP, MEDAG, OPN5, PRDM5, PTPRT, TRNAS-GGA, EEF1A1, FRY, ZBTB21-like, and B3GLCT-like. The listed genes encode proteins involved in the control of the cell cycle and DNA replication, regulation of cell proliferation and apoptosis, lipid and carbohydrate metabolism, the development of the inflammatory process and the work of circadian rhythms. …”
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  8. 688

    Generative design of crystal structures by point cloud representations and diffusion model by Zhelin Li, Rami Mrad, Runxian Jiao, Guan Huang, Jun Shan, Shibing Chu, Yuanping Chen

    Published 2025-01-01
    “…To facilitate the discovery of stable materials, we present a framework for the generation of synthesizable materials leveraging a point cloud representation to encode intricate structural information. At the heart of this framework lies the introduction of a diffusion model as its foundational pillar. …”
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  9. 689

    Epigene functional diversity: isoform usage, disordered domain content, and variable binding partners by Leroy Bondhus, Aileen A. Nava, Isabelle S. Liu, Valerie A. Arboleda

    Published 2025-02-01
    “…Conclusions Here we identify significant differences in isoform usage, disordered domain content, and variable binding partners between human epigenes and non-epigenes using various functional genomics datasets from Ensembl, ENCODE, GTEx, HPO, LINCS L1000, and BrainSpan. Our results contribute new knowledge to the growing field focused on developing targeted therapies for diseases caused by epigene mutations, such as chromatinopathies and cancers.…”
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  10. 690

    Ethnicity-specific distribution of <em>TRPM8</em> gene variants in Eurasian populations: signs of selection by T. A. Potapova, A. G. Romashchenko, N. S. Yudin, M. I. Voevoda

    Published 2020-05-01
    “…The TRPM8 gene encodes the ion channel, which is a cold receptor in afferent neurons of the mammalian somatosensory system. …”
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  11. 691

    Unified Visual-Aware Representations for Data Analytics by Ladislav Peska, Ivana Sixtova, David Hoksza, David Bernhauer, Jakub Lokoc, Tomas Skopal

    Published 2025-01-01
    “…The desired property of the visualizations is the ability to visually encode the semantic features of the original data. …”
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  12. 692

    Decreased SynMuv B gene activity in response to viral infection leads to activation of the antiviral RNAi pathway in C. elegans. by Ashwin Seetharaman, Himani Galagali, Elizabeth Linarte, Mona H X Liu, Jennifer D Cohen, Kashish Chetal, Ruslan Sadreyev, Alex J Tate, Taiowa A Montgomery, Gary Ruvkun

    Published 2025-01-01
    “…About one-third of the score of mutants that enhance RNAi are in synMuv B genes, identified 30 years ago in unrelated screens for increased growth factor signaling. Many synMuv B genes encode dREAM complex chromatin-regulatory proteins found in nearly all animals and plants. …”
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  13. 693

    Detector development for spin-echo SANS techniques using ZnS:Ag/6LiF and 6Li glass scintillators by Giacomo Mauri, G. Jeff Sykora, Gregory N. Smith, Steven R. Parnell, Robert M. Dalgliesh, Dirk Honecker, Sarah E. Mann, Erik M. Schooneveld, Nigel J. Rhodes

    Published 2025-01-01
    “…Abstract Neutron spin-echo techniques exploit Larmor precession of the neutron spin to encode either the scattering angle or energy. These are powerful means to extend the measurable momentum transfer (Q) and energy (E) range in neutron scattering measurements. …”
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  14. 694

    The Central Roles of Noncoding RNA in Estrogen-Dependent Female Reproductive System Tumors by Jiajie Tu, Huan Yang, Lei Jiang, Yu Chen, Yu Chen, Zhe Li, Lei Li, Yuanyuan Zhang, Xiaochun Chen, He Chen, Zhiying Yu

    Published 2021-01-01
    “…Noncoding RNAs (ncRNAs) are defined as RNAs that do not encode proteins, including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), both of which have been reported in estrogen-dependent female reproductive system tumors. …”
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  15. 695

    Auditory attention decoding based on neural-network for binaural beamforming applications by Roy Gueta, Elana Zion-Golumbic, Jacob Goldberger, Sharon Gannot

    Published 2025-01-01
    “…Several studies showed the ability to encode essential features of the attended speech from the cortex neural response, as recorded by the electroencephalography (EEG) signals. …”
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  16. 696

    Complete Genome Sequence and Comparative Genome Analysis of Variovorax sp. Strains PAMC28711, PAMC26660, and PAMC28562 and Trehalose Metabolic Pathways in Antarctica Isolates by Prasansah Shrestha, Jayram Karmacharya, So-Ra Han, Jun Hyuck Lee, Hyun Park, Tae-Jin Oh

    Published 2022-01-01
    “…The genomic information was collected from the NCBI database and the CAZyme database, and Prokka annotation was used to find the genes that encode for the trehalose metabolic pathway. Likewise, CAZyme annotation (dbCAN2 Meta server) was performed to predict the CAZyme family responsible for trehalose biosynthesis and degradation enzymes. …”
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  17. 697

    Molecular Characteristics, Synthase, and Food Application of Cereal β-Glucan by Lijing Sun, Mengyun Hu, Jie Zhao, Liangjie Lv, Yelun Zhang, Qian Liu, Li Zhang, Cuihong Yu, Peinan Wang, Qianying Li, Hui Li, Yingjun Zhang

    Published 2021-01-01
    “…It is well documented that cellulose synthase-like CslF/H/J genes encode synthases responsible for β-glucan biosynthesis in cereal grains. …”
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  18. 698

    Comprehensive phenotypic analysis of multiple gene deletions of α-glucan synthase and Crh-transglycosylase gene families in Aspergillus niger highlighting the versatility of the fu... by Katharina J. Ost, Mark Arentshorst, Bruno M. Moerschbacher, Mareike E. Dirks-Hofmeister, Arthur F.J. Ram

    Published 2025-06-01
    “…The genome of A. niger contains five genes encoding putative α-1,3-glucan synthases (AgsA-E) and seven genes encoding putative glucan-chitin crosslinking enzymes (CrhA-G). …”
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  19. 699

    Disease-associated genetic variants in the regulatory regions of human genes: mechanisms of action on transcription and genomic resources for dissecting these mechanisms by E. V. Ignatieva, E. A. Matrosova

    Published 2021-03-01
    “…Most of the variants identified by the GWAS technique are located in the noncoding regions of the human genome. According to the ENCODE project, the fraction of regions in the human genome potentially involved in transcriptional control is many times greater than the fraction of coding regions. …”
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  20. 700

    SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

    Published 2024-09-01
    “…While previous computational methods have made progress in predicting lncRNA subcellular localization, most of them ignore the sequence order information by relying on k-mer frequency features to encode lncRNA sequences. In the study, we develope SGCL-LncLoc, a novel interpretable deep learning model based on supervised graph contrastive learning. …”
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