Hasil Pencarian - Aleksandar D Kostic

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  1. 1
    Reply to “Is physical performance (in mice) increased by Veillonella atypica or decreased by Lactobacillus bulgaricus?”

    Reply to “Is physical performance (in mice) increased by Veillonella atypica or decreased by Lactobacillus bulgaricus?” oleh Aleksandar D. Kostic

    Diterbitkan 2020-05-01
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  2. 2
    Mechanisms of microbial–neuronal interactions in pain and nociception

    Mechanisms of microbial–neuronal interactions in pain and nociception oleh Valentina N. Lagomarsino, Aleksandar D. Kostic, Isaac M. Chiu

    Diterbitkan 2021-01-01
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  3. 3
    Quantifying Shared and Unique Gene Content across 17 Microbial Ecosystems

    Quantifying Shared and Unique Gene Content across 17 Microbial Ecosystems oleh Samuel Zimmerman, Braden T. Tierney, Chirag J. Patel, Aleksandar D. Kostic

    Diterbitkan 2023-04-01
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  4. 4
    Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators

    Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators oleh Braden T. Tierney, Yingxuan Tan, Aleksandar D. Kostic, Chirag J. Patel

    Diterbitkan 2021-05-01
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  5. 5
    Using Cartesian Doubt To Build a Sequencing-Based View of Microbiology

    Using Cartesian Doubt To Build a Sequencing-Based View of Microbiology oleh Braden T. Tierney, Erika Szymanski, James R. Henriksen, Aleksandar D. Kostic, Chirag J. Patel

    Diterbitkan 2021-10-01
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  6. 6
    Using Cartesian Doubt To Build a Sequencing-Based View of Microbiology

    Using Cartesian Doubt To Build a Sequencing-Based View of Microbiology oleh Braden T. Tierney, Erika Szymanski, James R. Henriksen, Aleksandar D. Kostic, Chirag J. Patel

    Diterbitkan 2021-10-01
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  7. 7
    A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type.

    A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. oleh Alan Le Goallec, Braden T Tierney, Jacob M Luber, Evan M Cofer, Aleksandar D Kostic, Chirag J Patel

    Diterbitkan 2020-05-01
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  8. 8
    Circulating short and medium chain fatty acids are associated with normoalbuminuria in type 1 diabetes of long duration

    Circulating short and medium chain fatty acids are associated with normoalbuminuria in type 1 diabetes of long duration oleh Salina Moon, John J. Tsay, Heather Lampert, Zaipul I. Md Dom, Aleksandar D. Kostic, Adam Smiles, Monika A. Niewczas

    Diterbitkan 2021-04-01
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  9. 9
    Leveraging vibration of effects analysis for robust discovery in observational biomedical data science.

    Leveraging vibration of effects analysis for robust discovery in observational biomedical data science. oleh Braden T Tierney, Elizabeth Anderson, Yingxuan Tan, Kajal Claypool, Sivateja Tangirala, Aleksandar D Kostic, Arjun K Manrai, Chirag J Patel

    Diterbitkan 2021-09-01
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  10. 10
    Systematically assessing microbiome-disease associations identifies drivers of inconsistency in metagenomic research.

    Systematically assessing microbiome-disease associations identifies drivers of inconsistency in metagenomic research. oleh Braden T Tierney, Yingxuan Tan, Zhen Yang, Bing Shui, Michaela J Walker, Benjamin M Kent, Aleksandar D Kostic, Chirag J Patel

    Diterbitkan 2022-03-01
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  11. 11
    Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences

    Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences oleh Himel Mallick, Eric A. Franzosa, Lauren J. Mclver, Soumya Banerjee, Alexandra Sirota-Madi, Aleksandar D. Kostic, Clary B. Clish, Hera Vlamakis, Ramnik J. Xavier, Curtis Huttenhower

    Diterbitkan 2019-07-01
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  12. 12
    Erratum for Proctor et al., “Resources To Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model To Study Microbiome Function”

    Erratum for Proctor et al., “Resources To Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model To Study Microbiome Function” oleh Alexandra Proctor, Shadi Parvinroo, Tanner Richie, Xinglin Jia, Sonny T. M. Lee, Peter D. Karp, Suzanne Paley, Aleksandar D. Kostic, Joseph F. Pierre, Michael J. Wannemuehler, Gregory J. Phillips

    Diterbitkan 2023-04-01
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  13. 13
    Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function

    Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function oleh Alexandra Proctor, Shadi Parvinroo, Tanner Richie, Xinglin Jia, Sonny T. M. Lee, Peter D. Karp, Suzanne Paley, Aleksandar D. Kostic, Joseph F. Pierre, Michael J. Wannemuehler, Gregory J. Phillips

    Diterbitkan 2022-10-01
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  14. 14
    Human genome-wide RNAi screen identifies an essential role for inositol pyrophosphates in Type-I interferon response.

    Human genome-wide RNAi screen identifies an essential role for inositol pyrophosphates in Type-I interferon response. oleh Niyas Kudukkil Pulloor, Sajith Nair, Kathleen McCaffrey, Aleksandar D Kostic, Pradeep Bist, Jeremy D Weaver, Andrew M Riley, Richa Tyagi, Pradeep D Uchil, John D York, Solomon H Snyder, Adolfo García-Sastre, Barry V L Potter, Rongtuan Lin, Stephen B Shears, Ramnik J Xavier, Manoj N Krishnan

    Diterbitkan 2014-02-01
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