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Showing 5,181 - 5,200 results of 40,563 for search '(( 50 ((we decrease) OR (((a decrease) OR (nn decrease)))) ) OR ( 16 we decrease ))', query time: 0.86s Refine Results
  1. 5181
    Table_3_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.xlsx

    Table_3_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.xlsx by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  2. 5182
    Table_2_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.xlsx

    Table_2_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.xlsx by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  3. 5183
    Image_8_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_8_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  4. 5184
    Image_4_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_4_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  5. 5185
    Table_4_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.xlsx

    Table_4_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.xlsx by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  6. 5186
    Image_15_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_15_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  7. 5187
    Image_12_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_12_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  8. 5188
    Image_1_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_1_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  9. 5189
    Image_11_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_11_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  10. 5190
    Image_9_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_9_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  11. 5191
    Image_2_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_2_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  12. 5192
    Table_1_Effects of Ribosomal Protein S10 Flexible Loop Mutations on Tetracycline and Tigecycline Susceptibility of Escherichia coli.DOCX

    Table_1_Effects of Ribosomal Protein S10 Flexible Loop Mutations on Tetracycline and Tigecycline Susceptibility of Escherichia coli.DOCX by Norbert Izghirean (10989915)

    Published 2021
    “…Both the S10 flexible loop and tigecycline are in contact with helix h31 of the 16S rRNA. We speculate that exchanges or deletion of V57 alter the positioning of h31, thereby influencing both tigecycline binding and S10 function.…”
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  13. 5193
    Image_10_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_10_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  14. 5194
    Image_5_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_5_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  15. 5195
    Image_3_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_3_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  16. 5196
    Image_13_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_13_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  17. 5197
    Image_6_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_6_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  18. 5198
    Image_14_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF

    Image_14_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

    Published 2022
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  19. 5199
    Ternary Dinuclear Copper(II) Complexes of a Hydroxybenzamide Ligand with Diimine Coligands: the 5,6-dmp Ligand Enhances DNA Binding and Cleavage and Induces Apoptosis

    Ternary Dinuclear Copper(II) Complexes of a Hydroxybenzamide Ligand with Diimine Coligands: the 5,6-dmp Ligand Enhances DNA Binding and Cleavage and Induces Apoptosis by Sethu Ramakrishnan (2081944)

    Published 2011
    “…In contrast to the increase in relative viscosities of DNA bound to <b>2</b>–<b>4</b>, a decrease in viscosity of DNA bound to <b>1</b> is observed, indicating a shortening of the DNA chain length through formation of kinks or bends. …”
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  20. 5200
    Data_Sheet_1_Adding Appropriate Fiber in Diet Increases Diversity and Metabolic Capacity of Distal Gut Microbiota Without Altering Fiber Digestibility and Growth Rate of Finishing Pig.docx

    Data_Sheet_1_Adding Appropriate Fiber in Diet Increases Diversity and Metabolic Capacity of Distal Gut Microbiota Without Altering Fiber Digestibility and Growth Rate of Finishing... by Guang Pu (8691246)

    Published 2020
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