ReviewFrontiers in genetics2019
Microbiome Big-Data Mining and Applications Using Single-Cell Technologies and Metagenomics Approaches Toward Precision Medicine.
Review in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-Analysis of the Gut Microbiome: An African American Representation.International journal of environmental research and public health · 2025Pooled it
- Accessibility in proteins and RNAs interactions prediction with machine learning: are we overlooking non-experts?Briefings in bioinformatics · 2026Review
- Engineering bacteriophages for gut health: precision antimicrobials and beyond.Journal of nanobiotechnology · 2026Review
- Absolute abundance unveils Basidiobolus as a cross-domain bridge indirectly bolstering gut microbiome homeostasis.The ISME journal · 2025Article
- BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning.Computational and structural biotechnology journal · 2024Article
- Exploring Microbial Dark Matter for the Discovery of Novel Natural Products: Characteristics, Abundance Challenges and Methods.Journal of microbiology and biotechnology · 2024Review
- Facial disbiosis and UV filters.Archives of dermatological research · 2024Article
- Marine Bioprospecting, Biocatalysis and Process Development.Microorganisms · 2022Review
- Microbial Dark Matter: from Discovery to Applications.Genomics, proteomics & bioinformatics · 2022Review
- Metagenomic Sequencing for Microbial DNA in Human Samples: Emerging Technological Advances.International journal of molecular sciences · 2022Review
- Optimizing Antimicrobial Therapy by Integrating Multi-Omics With Pharmacokinetic/Pharmacodynamic Models and Precision Dosing.Frontiers in pharmacology · 2022Review
- One Cell at a Time: Advances in Single-Cell Methods and Instrumentation for Discovery in Aquatic Microbiology.Frontiers in microbiology · 2022Article
- The Protective Effects of Helicobacter pylori Infection on Allergic Asthma.International archives of allergy and immunology · 2021Review
- Gut Microbiota in Adipose Tissue Dysfunction Induced Cardiovascular Disease: Role as a Metabolic Organ.Frontiers in endocrinology · 2021Review
- Synergies of Systems Biology and Synthetic Biology in Human Microbiome Studies.Frontiers in microbiology · 2021Review
- The Association Between Intestinal Bacteria and Allergic Diseases-Cause or Consequence?Frontiers in cellular and infection microbiology · 2021Review
- Gut-Brain Axis and Neurodegeneration: State-of-the-Art of Meta-Omics Sciences for Microbiota Characterization.International journal of molecular sciences · 2020Review
- Multi-Omics Approaches: The Key to Improving Respiratory Health in People With Cystic Fibrosis?Frontiers in pharmacology · 2020Review
- Article
- Managing the Transition to Widespread Metagenomic Monitoring: Policy Considerations for Future Biosurveillance.Health securityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the development of high-throughput sequencing technologies as well as various bioinformatics analytic tools, microbiome is not a "microbial dark matter" anymore. In this review, we first summarized the current analytical strategies used for big-data mining such as single-cell sequencing and metagenomics. We then provided insights into the integration of these strategies, showing significant advantages in fully describing microbiome from multiple aspects. Moreover, we discussed the correlation between gut microbiome with host organs and diseases, confirming the importance of big-data mining in clinical practices. We finally proposed new ideas about the trend of big-data mining in microbiome using multi-omics approaches and single-cell sequencing. The integration of multi-omics approaches and single-cell sequencing can provide full understanding of microbiome at both macroscopic level and microscopic level, thus contributing to precision medicine.
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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.