ReviewJournal of clinical microbiology2016
Population and Functional Genomics of Neisseria Revealed with Gene-by-Gene Approaches.
Review in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Article
- Put your money where your mouth is: surveillance of antibiotic resistance within the commensalMicrobiology spectrum · 2026Article
- Perspective on the pathogenic Neisseria: milestones, challenges, and future directions.NPJ vaccines · 2026Review
- Put your money where your mouth is: Surveillance of antibiotic resistance within the commensalbioRxiv : the preprint server for biology · 2026Article
- Gene exchange betweenMicrobial genomics · 2026Article
- Article
- A New Multilocus Sequence Typing Scheme for Lactobacillus delbrueckii subsp. bulgaricus Based on Whole-Genome Sequencing Data.Current microbiology · 2025Article
- Review
- Carriage and antimicrobial susceptibility of commensal Neisseria species from the human oropharynx.Scientific reports · 2024Article
- Neisseria genes required for persistence identified via in vivo screening of a transposon mutant library.PLoS pathogens · 2022Article
- Virulence genes and previously unexplored gene clusters in four commensalMicrobial genomics · 2020Article
- Neisseria meningitidis: using genomics to understand diversity, evolution and pathogenesis.Nature reviews. Microbiology · 2020Review
- Gauging the epidemic potential of a widely circulating non-invasive meningococcal strain in Africa.Microbial genomics · 2019Article
- Fast and flexible bacterial genomic epidemiology with PopPUNK.Genome research · 2019Article
- Multiple Recombination Events Drive the Current Genetic Structure ofFrontiers in microbiology · 2019Article
- Article
- Whole genome sequencing for investigations of meningococcal outbreaks in the United States: a retrospective analysis.Scientific reports · 2018Article
- Genomic surveillance of Neisseria gonorrhoeae to investigate the distribution and evolution of antimicrobial-resistance determinants and lineages.Microbial genomics · 2018Article
- Neisseria gonorrhoeae host adaptation and pathogenesis.Nature reviews. Microbiology · 2018Review
- Genomic analyses of the Chlamydia trachomatis core genome show an association between chromosomal genome, plasmid type and disease.BMC genomics · 2018Article
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
Rapid low-cost whole-genome sequencing (WGS) is revolutionizing microbiology; however, complementary advances in accessible, reproducible, and rapid analysis techniques are required to realize the potential of these data. Here, investigations of the genus Neisseria illustrated the gene-by-gene conceptual approach to the organization and analysis of WGS data. Using the gene and its link to phenotype as a starting point, the BIGSdb database, which powers the PubMLST databases, enables the assembly of large open-access collections of annotated genomes that provide insight into the evolution of the Neisseria, the epidemiology of meningococcal and gonococcal disease, and mechanisms of Neisseria pathogenicity.
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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.