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1,164 Research products

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Castellani, Christina A.; Longchamps, Ryan J.; Sumpter, Jason A.; Newcomb, Charles E.; +20 Authors

    Additional file 4: Table S3. A. Results for 34 independent ARIC Discovery Meta-Analysis identified mtDNA-CN associated CpGs across all studied cohorts and Validation Meta-Analysis/All Cohort Meta-Analysis. Validation meta-analysis included CHS AA, CHS EA and FHS EA cohorts (P

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  • Authors: Ana Velly;
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kerr, Craig H.; Skinnider, Michael A.; Andrews, Daniel D. T.; Madero, Angel M.; +5 Authors

    Additional file 6. Autocorrelation z scores between pairs of stimulated and unstimulated chromatograms.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Yifeng Li; Wenqiang Shi; Wyeth Wasserman;

    Genome-wide predictions of cis-regulatory regions for all six cell types. (ZIP 20400 kb)

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mostafa, Mahmoud; Rider, Christopher; Suharsh Shah; Traves, Suzanne; +4 Authors

    Genes significantly modulated by budesonide or dexamethasone in A549 cells. The 330 genes showing significant induction (fold ≥2, P ≤ 0.05), or repression (fold ≤0.5, P ≤ 0.05), by budesonide (300 nM) or dexamethasone (1 μM), compared to control at 6 h, are listed along with the fold change and P value for each glucocorticoid. Genes are sorted alphabetically according to their official gene symbol. (XLSX 30 kb)

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  • Authors: Dae-Kyum Kim; Knapp, Jennifer; Kuang, Da; Chawla, Aditya; +16 Authors

    Supplementary tables for "A comprehensive, flexible collection of SARS-CoV-2 coding regions"

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Lima, Maria Alice Dias Da Silva; Giselda Quintana Marques; Adalvane Nobres Damaceno; Santos, Mariana Timmers Dos; +2 Authors

    ABSTRACT The study aimed to identify available instruments in the literature to evaluate the structure of primary health network in health systems. An integrated review of literature was carried out in health sciences, education, and management Databases, as follows: Medical Literature Analysis and Retrieval System Online (Medline), including the Cochrane Library, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), ABI Inform, Latin American and Caribbean on Health Sciences Literature (Lilacs), and the Business Source Complete (Ebsco). Manuscripts published in English and Portuguese from 1995 to 2019 were included. The final sample contained nine articles, in which eight instruments were identified. They had as a common feature the approach on longitudinality, interprofessional communication, care coordination, access to health services, and quality of care. An emphasis was noted on an instrument developed in the Brazilian health system context as a useful tool to support health care workers and managers in the situational diagnosis of potentialities and fragilities of Primary Health Care and Health Care Networks.

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  • Authors: Choudhary, Neha; Jaraquemada-Peláez, Marı́a de Guadalupe; Zarschler, Kristof; Wang, Xiaozhu; +4 Authors

    Related Article: Neha Choudhary, Marı́a de Guadalupe Jaraquemada-Peláez, Kristof Zarschler, Xiaozhu Wang, Valery Radchenko, Manja Kubeil, Holger Stephan, Chris Orvig|2020|Inorg.Chem.|59|5728|doi:10.1021/acs.inorgchem.0c00509

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Patel, Zain M.; Hughes, Timothy R.;

    Additional file 3 : Table S2. Exact file IDs and links to all data obtained from ENCODE and Roadmap Epigenome.

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    Authors: Bodson, Oriane; Barro, Ahmed; Turcotte-Tremblay, Anne-Marie; Zanté, Nestor; +2 Authors

    Dataset. (XLSX 19 kb)

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    Authors: Castellani, Christina A.; Longchamps, Ryan J.; Sumpter, Jason A.; Newcomb, Charles E.; +20 Authors

    Additional file 4: Table S3. A. Results for 34 independent ARIC Discovery Meta-Analysis identified mtDNA-CN associated CpGs across all studied cohorts and Validation Meta-Analysis/All Cohort Meta-Analysis. Validation meta-analysis included CHS AA, CHS EA and FHS EA cohorts (P

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  • Authors: Ana Velly;
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    Authors: Kerr, Craig H.; Skinnider, Michael A.; Andrews, Daniel D. T.; Madero, Angel M.; +5 Authors

    Additional file 6. Autocorrelation z scores between pairs of stimulated and unstimulated chromatograms.

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    Authors: Yifeng Li; Wenqiang Shi; Wyeth Wasserman;

    Genome-wide predictions of cis-regulatory regions for all six cell types. (ZIP 20400 kb)

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    Authors: Mostafa, Mahmoud; Rider, Christopher; Suharsh Shah; Traves, Suzanne; +4 Authors

    Genes significantly modulated by budesonide or dexamethasone in A549 cells. The 330 genes showing significant induction (fold ≥2, P ≤ 0.05), or repression (fold ≤0.5, P ≤ 0.05), by budesonide (300 nM) or dexamethasone (1 μM), compared to control at 6 h, are listed along with the fold change and P value for each glucocorticoid. Genes are sorted alphabetically according to their official gene symbol. (XLSX 30 kb)

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  • Authors: Dae-Kyum Kim; Knapp, Jennifer; Kuang, Da; Chawla, Aditya; +16 Authors

    Supplementary tables for "A comprehensive, flexible collection of SARS-CoV-2 coding regions"

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