ReviewBriefings in bioinformatics2021
Genome annotation of disease-causing microorganisms.
Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 27 citations in OpenAlex.
- Characterization and Optimization of Fermentation Conditions ofMicroorganisms · 2025Article
- Integrating Metabolomics and Genomics to Uncover Antimicrobial Compounds inAntibiotics (Basel, Switzerland) · 2025Article
- Draft genome sequencing of halotolerant bacterium3 Biotech · 2023Article
- Exposing the small protein load of bacterial life.FEMS microbiology reviews · 2023Review
- Functional annotation and comparative genomics analysis of Balamuthia mandrillaris reveals potential virulence-related genes.Scientific reports · 2023Article
- Challenges in prokaryote pangenomics.Microbial genomics · 2023Review
- Novel Alkaloids from Marine Actinobacteria: Discovery and Characterization.Marine drugs · 2021Review
- Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification.Microbial genomics · 2021Article
- Accurate annotation of protein coding sequences with IDTAXA.NAR genomics and bioinformatics · 2021Article
- Article
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 at 1 institution in 1 country.
Funding
Abstract
Humans have coexisted with pathogenic microorganisms throughout its history of evolution. We have never halted the exploration of pathogenic microorganisms. With the improvement of genome-sequencing technology and the continuous reduction of sequencing costs, an increasing number of complete genome sequences of pathogenic microorganisms have become available. Genome annotation of this massive sequence information has become a daunting task in biological research. This paper summarizes the approaches to the genome annotation of pathogenic microorganisms and the available popular genome annotation tools for prokaryotes, eukaryotes and viruses. Furthermore, real-world comparisons of different annotation tools using 12 genomes from prokaryotes, eukaryotes and viruses were conducted. Current challenges and problems were also discussed.
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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.