Hasil Pencarian - Svetlana Lyalina

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  1. 1
    Single cell genome sequencing of laboratory mouse microbiota improves taxonomic and functional resolution of this model microbial community

    Single cell genome sequencing of laboratory mouse microbiota improves taxonomic and functional resolution of this model microbial community oleh Svetlana Lyalina, Ramunas Stepanauskas, Frank Wu, Shomyseh Sanjabi, Katherine S. Pollard

    Diterbitkan 2022-01-01
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  2. 2
    Single cell genome sequencing of laboratory mouse microbiota improves taxonomic and functional resolution of this model microbial community.

    Single cell genome sequencing of laboratory mouse microbiota improves taxonomic and functional resolution of this model microbial community. oleh Svetlana Lyalina, Ramunas Stepanauskas, Frank Wu, Shomyseh Sanjabi, Katherine S Pollard

    Diterbitkan 2022-01-01
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  3. 3
    AlleleAnalyzer: a tool for personalized and allele-specific sgRNA design

    AlleleAnalyzer: a tool for personalized and allele-specific sgRNA design oleh Kathleen C. Keough, Svetlana Lyalina, Michael P. Olvera, Sean Whalen, Bruce R. Conklin, Katherine S. Pollard

    Diterbitkan 2019-08-01
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  4. 4
    Development of Inflammatory Bowel Disease Is Linked to a Longitudinal Restructuring of the Gut Metagenome in Mice

    Development of Inflammatory Bowel Disease Is Linked to a Longitudinal Restructuring of the Gut Metagenome in Mice oleh Thomas Sharpton, Svetlana Lyalina, Julie Luong, Joey Pham, Emily M. Deal, Courtney Armour, Christopher Gaulke, Shomyseh Sanjabi, Katherine S. Pollard

    Diterbitkan 2017-10-01
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  5. 5
    Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth

    Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth oleh Idit Kosti, Idit Kosti, Svetlana Lyalina, Katherine S. Pollard, Katherine S. Pollard, Katherine S. Pollard, Katherine S. Pollard, Atul J. Butte, Atul J. Butte, Marina Sirota, Marina Sirota

    Diterbitkan 2020-04-01
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  6. 6
    P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL

    P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL oleh Tao Xu, Skander Jemaa, Manas Kumar, Sandhya Balasubramanian, Aisha Shamas-Din, Svetlana Lyalina, Souhila Ounadjela, Bilal Malik, Joe Lee, Salvador Figueroa Morales, Tina Nielsen, Rick Ad Carano, Lale Kostakoglu, William Capra

    Diterbitkan 2023-08-01
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