ReviewJournal of bacteriology2015
Databases for Microbiologists.
Review in Journal of bacteriology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Carbohydrate Structure Database: current state and recent developments.Analytical and bioanalytical chemistry · 2025Review
- The Microbe Directory: a centralized database for biological interpretation of microbiome data.Database : the journal of biological databases and curation · 2025Article
- Beyond blast: enabling microbiologists to better extract literature, taxonomic distributions and gene neighbourhood information for protein families.Microbial genomics · 2024Article
- The contemporary nexus of medicines security and bioprospecting: a future perspective for prioritizing the patient.Natural products and bioprospecting · 2024Review
- Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families.bioRxiv : the preprint server for biology · 2024Article
- Towards interoperability in infection control: a standard data model for microbiology.Scientific data · 2023Article
- Engineering the Metabolic Landscape of Microorganisms for Lignocellulosic Conversion.Microorganisms · 2023Review
- A new approach of microbiome monitoring in the built environment: feasibility analysis of condensation capture.Microbiome · 2023Article
- DoriC 12.0: an updated database of replication origins in both complete and draft prokaryotic genomes.Nucleic acids research · 2023Article
- SynBioStrainFinder: A microbial strain database of manually curated CRISPR/Cas genetic manipulation system information for biomanufacturing.Microbial cell factories · 2022Article
- Inquiry-Driven Bioinformatics Laboratory Research Module: Metagenomic Study of Student Oral Microbes.Journal of microbiology & biology education · 2021Article
- The next frontier of the anaerobic digestion microbiome: From ecology to process control.Environmental science and ecotechnology · 2020Review
- The Majority of ActiveFrontiers in microbiology · 2019Article
- Data distribution in public veterinary service: health and safety challenges push for context-aware systems.BMC veterinary research · 2017Article
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
Databases play an increasingly important role in biology. They archive, store, maintain, and share information on genes, genomes, expression data, protein sequences and structures, metabolites and reactions, interactions, and pathways. All these data are critically important to microbiologists. Furthermore, microbiology has its own databases that deal with model microorganisms, microbial diversity, physiology, and pathogenesis. Thousands of biological databases are currently available, and it becomes increasingly difficult to keep up with their development. The purpose of this minireview is to provide a brief survey of current databases that are of interest to microbiologists.
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.