ReviewFEMS microbiology reviews2009
Global phenotypic characterization of bacteria.
Review in FEMS microbiology reviews, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 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
194 citing papers in PubMed.
- Genome-Resolved Delineation of Three Novel EndophyticMicroorganisms · 2026Article
- Multi-strain analysis ofmSystems · 2026Article
- Bacterial zinc metalloproteases as facilitators of pathogenic success: a review.Archives of microbiology · 2026Review
- Morphological and biochemical characterization of bacterial isolates from diverse soil habitats in the Amhara region, Ethiopia.Open life sciences · 2026Article
- Multiomics profiling of transcriptional and metabolic responses ofFrontiers in microbiology · 2026Article
- Respiration and Substrate Utilization by Marine Fungi: Their Ecological Role in an Upwelling Ecosystem.Mycobiology · 2026Article
- Biosorption potential and plant growth promoting activities of zinc tolerant novel Chitinophaga niastensis HMR31 from zinc-infested zone.Scientific reports · 2025Article
- Multi-strain Analysis ofbioRxiv : the preprint server for biology · 2025Article
- Two NovelMicroorganisms · 2025Article
- Identification of virulence genes and clade-specific markers through pan-genomic analysis of Leptospira.BMC microbiology · 2025Article
- Characterization, whole-genome sequence analysis, and protease production of a new thermophilic Bacillus licheniformis strain isolated from Debagh hot spring, Algeria.International microbiology : the official journal of the Spanish Society for Microbiology · 2025Article
- The Role of Phenotypic Plasticity and Within-Environment Trait Variability in the Assembly of the Nectar Microbiome and Plant-Microbe-Animal Interactions.Ecology and evolution · 2025Review
- Addressing genome scale design tradeoffs in Pseudomonas putida for bioconversion of an aromatic carbon source.NPJ systems biology and applications · 2025Article
- Species evolution: cryptic species and phenotypic noise with a particular focus on fungal systematics.Frontiers in cellular and infection microbiology · 2025Review
- Rapid bacterial identification through volatile organic compound analysis and deep learning.BMC bioinformatics · 2024Article
- Screening and evaluation of the ruminal cellulolytic bacteria and their potential application as probiotics.Iranian journal of microbiology · 2024Article
- Phenotypic and genomic characterization ofApplied and environmental microbiology · 2024Article
- Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations.Communications biology · 2024Article
- Genome-scale analysis of essential gene knockout mutants to identify an antibiotic target process.Antimicrobial agents and chemotherapy · 2023Article
- Neural network based integration of assays to assess pathogenic potential.Scientific reports · 2023Article
134 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
1 author.
Funding
Abstract
The measure of the quality of a systems biology model is how well it can reproduce and predict the behaviors of a biological system such as a microbial cell. In recent years, these models have been built up in layers, and each layer has been growing in sophistication and accuracy in parallel with a global data set to challenge and validate the models in predicting the content or activities of genes (genomics), proteins (proteomics), metabolites (metabolomics), and ultimately cell phenotypes (phenomics). This review focuses on the latter, the phenotypes of microbial cells. The development of Phenotype MicroArrays, which attempt to give a global view of cellular phenotypes, is described. In addition to their use in fleshing out and validating systems biology models, there are many other uses of this global phenotyping technology in basic and applied microbiology research, which are also described.
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.