ReviewCell2016
Toward Accurate and Quantitative Comparative Metagenomics.
Review in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 1 of them a synthesis that pooled it.
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
149 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Compositional and functional differences of the mucosal microbiota along the intestine of healthy individuals.Scientific reports · 2020Trial
- Microbial ecology of shallow groundwater ecosystems.Nature reviews. Microbiology · 2026Review
- Dual-platform metagenomic surveillance distinguishes pathogen and resistome hotspots across agricultural and mixed-use watersheds.One health (Amsterdam, Netherlands) · 2026Article
- Profiling the Athletes' Gut Microbiome: A Critical Methodological Perspective on 16S Metabarcoding and Shotgun Metagenomics.Biology · 2026Review
- Fingerprint profiling human gut microbiota through boronic acid-based sensor array and its application on colorectal cancer classification.Nature communications · 2026Article
- Advancing Plant Microbiome Research Through Host DNA Depletion Techniques.Plant biotechnology journal · 2026Review
- Basic Microbiome Analysis: Analytical Steps from Sampling to Sequencing.Microorganisms · 2026Review
- Hybrid expert system for robust detection of rare sequence signals: a computational proof-of-concept in host-dominated backgrounds.Frontiers in microbiology · 2026Article
- A transformer based deep learning framework for accurate single nucleotide variant correction in heterogeneous samples.Frontiers in microbiology · 2026Article
- Microbial Omics.Progress in molecular and subcellular biology · 2026Review
- Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes.BMC microbiology · 2025Article
- Gut microbiota implication in diabetic kidney disease: mechanisms and novel therapeutic strategies.Renal failure · 2025Review
- Real-time PCR assay design and validation for Prevotella bivia, Peptostreptococcus anaerobius, and Dialister micraerophilus, bacteria associated with increased HIV susceptibility.Scientific reports · 2025Article
- Evolution of gut microbiota across honeybee species revealed by comparative metagenomics.Nature communications · 2025Article
- Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025Article
- kMermaid: Ultrafast metagenomic read assignment to protein clusters by hashing of amino acid k-mer frequencies.PLoS computational biology · 2025Article
- Advances in the Relationship Between Skin Tumor Occurrence, Development, Prognosis, and the Human Microbiome.Current microbiology · 2025Review
- Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment.npj antimicrobials and resistance · 2025Article
- Soil microbial responses to multiple global change factors as assessed by metagenomics.Nature communications · 2025Article
89 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Shotgun metagenomics and computational analysis are used to compare the taxonomic and functional profiles of microbial communities. Leveraging this approach to understand roles of microbes in human biology and other environments requires quantitative data summaries whose values are comparable across samples and studies. Comparability is currently hampered by the use of abundance statistics that do not estimate a meaningful parameter of the microbial community and biases introduced by experimental protocols and data-cleaning approaches. Addressing these challenges, along with improving study design, data access, metadata standardization, and analysis tools, will enable accurate comparative metagenomics. We envision a future in which microbiome studies are replicable and new metagenomes are easily and rapidly integrated with existing data. Only then can the potential of metagenomics for predictive ecological modeling, well-powered association studies, and effective microbiome medicine be fully realized.
Indexed as
Identifiers
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.