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Showing 1–7 of 7 results
Advanced filters: Author: Himel Mallick Clear advanced filters

  • Obtaining metabolomic data from microbial communities can be costly and difficult, whereas many microbial community sequence datasets are already available. Here Mallick et al. describe a computational approach to predict metabolic features from microbial DNA sequencing information.

    • Himel Mallick
    • Eric A. Franzosa
    • Curtis Huttenhower
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-11

  • Metabolomics data from germ-free and specific-pathogen-free mice reveal effects of the microbiome on host chemistry, identifying conjugations of bile acids that are also enriched in patients with inflammatory bowel disease or cystic fibrosis.

    • Robert A. Quinn
    • Alexey V. Melnik
    • Pieter C. Dorrestein
    Research
    Nature
    Volume: 579, P: 123-129

  • Metagenomic and metatranscriptomic analyses of stool samples from 308 individuals over time indicate that longitudinal sampling is important for detecting dynamic functional features of the gut microbiome.

    • Raaj S. Mehta
    • Galeb S. Abu-Ali
    • Andrew T. Chan
    Research
    Nature Microbiology
    Volume: 3, P: 347-355

  • Analysis of human faecal metatranscriptomes and metagenomes reveals core and variable metatranscriptomes across time and individuals, and similar strain-level variation within and between subjects, providing further insights into human microbial ecology.

    • Galeb S. Abu-Ali
    • Raaj S. Mehta
    • Curtis Huttenhower
    Research
    Nature Microbiology
    Volume: 3, P: 356-366

  • Using metabolomics and shotgun metagenomics on stool samples from individuals with and without inflammatory bowel disease, metabolites, microbial species and genes associated with disease were identified and validated in an independent cohort.

    • Eric A. Franzosa
    • Alexandra Sirota-Madi
    • Ramnik J. Xavier
    Research
    Nature Microbiology
    Volume: 4, P: 293-305

  • The Inflammatory Bowel Disease Multi’omics Database includes longitudinal data encompassing a multitude of analyses of stool, blood and biopsies of more than 100 individuals, and provides a comprehensive description of host and microbial activities in inflammatory bowel diseases.

    • Jason Lloyd-Price
    • Cesar Arze
    • Curtis Huttenhower
    ResearchOpen Access
    Nature
    Volume: 569, P: 655-662