ReviewComputational and structural biotechnology journal2023
Data pre-processing for analyzing microbiome data - A mini review.
Review in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Why probiotics fail: gut niche tension as the missing variable?Gut microbes · 2026Review
- Diagnosing Anaerobic Digesters' Function and Performance: From Meta-Omics to Integrated Meta-Omics Analyses.Environmental microbiology reports · 2026Review
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Subclinical cholestasis is a hallmark of gut dysbiosis causing resistance to cancer immunotherapy.Cancer cell · 2026Article
- The gut microbiome in the Lebanese population and its alterations in metastatic colorectal cancer: benchmarking and application.BMC microbiology · 2026Article
- Associations of indoor bacterial, metabolomic, and other chemical exposures with allergic rhinitis in school-aged children.BMC microbiology · 2026Article
- Machine Learning and Artificial Intelligence in Nutrition Research: Analytical Methods, Applications, and Key Considerations.The Journal of nutrition · 2026Review
- Water kefir as a paradigm for multi-omics and genome-scale metabolic modelling in fermented food.NPJ biofilms and microbiomes · 2026Review
- Mutational Signatures and Clonal Hematopoiesis in Intestinal Metaplasia across Countries with Varying Stomach Cancer Incidence.Cancer discovery · 2026Article
- Sociodemographic and Health Factors Are Associated with Antimicrobial Resistance across Eight States in the United States.Environmental science & technology · 2026Article
- Protist community sites and structure under two barn management systems at a commercial dairy.Frontiers in microbiomes · 2026Article
- The role of gut microbiome in the pathophysiology of PTSD, depression, and anxiety disorders.Gut microbes reports · 2026Review
- Variation in zoo diets, offerings of leafy browse, and body condition scores in Matschie's tree kangaroos (PeerJ · 2026Article
- Article
- Decoding the reproductive microbiome: enabling clinical and biological insights through machine and deep learning.Frontiers in endocrinology · 2026Review
- Oral Microbiome in Oral Cancer Research from Sampling to Analysis: Strategies, Challenges, and Recommendations.Cancers · 2025Review
- The Constrained Disorder Principle: A Paradigm Shift for Accurate Interactome Mapping and Information Analysis in Complex Biological Systems.Bioengineering (Basel, Switzerland) · 2025Review
- Gut microbiome-based machine learning model for early colorectal cancer and adenoma screening.Gut pathogens · 2025Article
- SMOTE-augmented machine learning model predicts recurrent and metastatic breast cancer from microbiome analysis.Scientific reports · 2025Article
- Gut microbiota and tuberculosis.iMeta · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human microbiome is an emerging research frontier due to its profound impacts on health. High-throughput microbiome sequencing enables studying microbial communities but suffers from analytical challenges. In particular, the lack of dedicated preprocessing methods to improve data quality impedes effective minimization of biases prior to downstream analysis. This review aims to address this gap by providing a comprehensive overview of preprocessing techniques relevant to microbiome research. We outline a typical workflow for microbiome data analysis. Preprocessing methods discussed include quality filtering, batch effect correction, imputation of missing values, normalization, and data transformation. We highlight strengths and limitations of each technique to serve as a practical guide for researchers and identify areas needing further methodological development. Establishing robust, standardized preprocessing will be essential for drawing valid biological conclusions from microbiome studies.
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.