ReviewTranslational research : the journal of laboratory and clinical medicine2017
High-resolution characterization of the human microbiome.
Review in Translational research : the journal of laboratory and clinical medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed.
- Targeted amplicon sequencing for enhanced detection of spiked Shiga toxin-producingMicrobiology spectrum · 2026Article
- 8-azido-3,8-dideoxy-D-manno-octulosonic acid-mediated metabolic oligosaccharide engineering for specific labeling of diverseiScience · 2026Article
- Emerging Therapeutic Approaches for Modulating the Intestinal Microbiota.Pharmaceutics · 2026Review
- Personalized Nutrition Through the Gut Microbiome in Metabolic Syndrome and Related Comorbidities.Nutrients · 2026Review
- Gut microbiome-based machine learning model for early colorectal cancer and adenoma screening.Gut pathogens · 2025Article
- Article
- Recent advancements in artificial intelligence-powered cancer prediction from oral microbiome.Periodontology 2000 · 2025Review
- Microbiome Markers in Gastrointestinal Disorders: Inflammatory Bowel Disease, Colorectal Cancer, and Celiac Disease.International journal of molecular sciences · 2025Review
- Gut microbiota and their influence in brain cancer milieu.Journal of neuroinflammation · 2025Review
- Microbiome and Communication Disorders: A Tutorial for Clinicians.Journal of speech, language, and hearing research : JSLHR · 2025Review
- PUPpy: a primer design pipeline for substrain-level microbial detection and absolute quantification.mSphere · 2024Article
- A review of machine learning methods for cancer characterization from microbiome data.NPJ precision oncology · 2024Review
- Effects of Probiotic Supplementation during Chronic Rhinosinusitis on the Microbiome.Journal of clinical medicine · 2024Review
- YACHT: an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample.Bioinformatics (Oxford, England) · 2024Article
- Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification.Frontiers in medical technology · 2024Review
- YACHT: an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample.bioRxiv : the preprint server for biology · 2023Article
- A Review on the Nasal Microbiome and Various Disease Conditions for Newer Approaches to Treatments.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023Article
- Multi-'omics of gut microbiome-host interactions in short- and long-term myalgic encephalomyelitis/chronic fatigue syndrome patients.Cell host & microbe · 2023Article
- Influence of Sex on the Microbiota of the Human Face.Microorganisms · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The human microbiome plays an important and increasingly recognized role in human health. Studies of the microbiome typically use targeted sequencing of the 16S rRNA gene, whole metagenome shotgun sequencing, or other meta-omic technologies to characterize the microbiome's composition, activity, and dynamics. Processing, analyzing, and interpreting these data involve numerous computational tools that aim to filter, cluster, annotate, and quantify the obtained data and ultimately provide an accurate and interpretable profile of the microbiome's taxonomy, functional capacity, and behavior. These tools, however, are often limited in resolution and accuracy and may fail to capture many biologically and clinically relevant microbiome features, such as strain-level variation or nuanced functional response to perturbation. Over the past few years, extensive efforts have been invested toward addressing these challenges and developing novel computational methods for accurate and high-resolution characterization of microbiome data. These methods aim to quantify strain-level composition and variation, detect and characterize rare microbiome species, link specific genes to individual taxa, and more accurately characterize the functional capacity and dynamics of the microbiome. These methods and the ability to produce detailed and precise microbiome information are clearly essential for informing microbiome-based personalized therapies. In this review, we survey these methods, highlighting the challenges each method sets out to address and briefly describing methodological approaches.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.