ReviewPathogens and disease2017
Neisseria genomics: current status and future perspectives.
Review in Pathogens and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Microevolution of Neisseria lactamica during nasopharyngeal colonisation induced by controlled human infection.Nature communications · 2018Trial
- Management and prevention of Neisseria meningitidis and Neisseria gonorrhoeae infections in the context of evolving antimicrobial resistance trends.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Review
- Pangenome graphs in infectious disease: a comprehensive genetic variation analysis ofFrontiers in genetics · 2023Article
- Whole Genome Analyses Accurately IdentifyInternational journal of molecular sciences · 2022Article
- Genomic sequence of the non-pathogen Neisseria sp. strain MA1-1 with antibiotic resistance and virulence factors isolated from a head and neck cancer patient.Archives of microbiology · 2022Article
- Bioinformatics tools used for whole-genome sequencing analysis of Neisseria gonorrhoeae: a literature review.Briefings in functional genomics · 2022Review
- Assessment of Antibiotic Resistance and Efflux Pump Gene Expression in Neisseria Gonorrhoeae Isolates from South Africa by Quantitative Real-Time PCR and Regression Analysis.International journal of microbiology · 2022Article
- Virulence genes and previously unexplored gene clusters in four commensalMicrobial genomics · 2020Article
- Meningococcal core and accessory phasomes vary by clonal complex.Microbial genomics · 2020Article
- Article
- Immunoinformatics and Vaccine Development: An Overview.ImmunoTargets and therapy · 2020Review
- Whole-genome sequencing and characterization of an antibiotic resistant Neisseria meningitidis B isolate from a military unit in Vietnam.Annals of clinical microbiology and antimicrobials · 2019Article
- The CRISPR/Cas system in Neisseria meningitidis affects bacterial adhesion to human nasopharyngeal epithelial cells.RNA biology · 2019Article
- Article
- Detailed Evaluation of Data Analysis Tools for Subtyping of Bacterial Isolates Based on Whole Genome Sequencing:Frontiers in microbiology · 2019Article
- Use of Andromas and Bruker MALDI-TOF MS in the identification of Neisseria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018Article
- Vaccine prevention of meningococcal disease in Africa: Major advances, remaining challenges.Human vaccines & immunotherapeutics · 2018Review
- Comparative proteomics analysis of Neisseria gonorrhoeae strains in response to extended-spectrum cephalosporins.EXCLI journal · 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
7 authors.
Funding
Abstract
High-throughput whole genome sequencing has unlocked a multitude of possibilities enabling members of the Neisseria genus to be examined with unprecedented detail, including the human pathogens Neisseria meningitidis and Neisseria gonorrhoeae. To maximise the potential benefit of this for public health, it is becoming increasingly important to ensure that this plethora of data are adequately stored, disseminated and made readily accessible. Investigations facilitating cross-species comparisons as well as the analysis of global datasets will allow differences among and within species and across geographic locations and different times to be identified, improving our understanding of the distinct phenotypes observed. Recent advances in high-throughput platforms that measure the transcriptome, proteome and/or epigenome are also becoming increasingly employed to explore the complexities of Neisseria biology. An integrated approach to the analysis of these is essential to fully understand the impact these may have in the Neisseria genus. This article reviews the current status of some of the tools available for next generation sequence analysis at the dawn of the 'post-genomic' era.
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.