ReviewBriefings in bioinformatics2016
Microbial bioinformatics for food safety and production.
Review in Briefings in bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Effect of Daily OralNutrients · 2021Trial
- Article
- Article
- Analysis of intestinal flora and cognitive function in maintenance hemodialysis patients using combined 16S ribosome DNA and shotgun metagenome sequencing.Aging clinical and experimental research · 2024Article
- An overview of fermentation in the food industry - looking back from a new perspective.Bioresources and bioprocessing · 2023Review
- Food systems microbiome-related educational needs.Microbial biotechnology · 2023Article
- A Machine Learning Model for Food Source Attribution ofPathogens (Basel, Switzerland) · 2022Article
- AntimicrobialAntibiotics (Basel, Switzerland) · 2022Review
- Applications of Lactic Acid Bacteria and Their Bacteriocins against Food Spoilage Microorganisms and Foodborne Pathogens.Molecules (Basel, Switzerland) · 2021Review
- Analysis of Bacterial Communities by 16S rRNA Gene Sequencing in a Melon-Producing Agro-environment.Microbial ecology · 2021Article
- Fermentation for future food systems: Precision fermentation can complement the scope and applications of traditional fermentation.EMBO reports · 2021Article
- GIMICA: host genetic and immune factors shaping human microbiota.Nucleic acids research · 2021Article
- Review
- Article
- Systematic processing of ribosomal RNA gene amplicon sequencing data.GigaScience · 2019Article
- Machine Learning Approaches for Epidemiological Investigations of Food-Borne Disease Outbreaks.Frontiers in microbiology · 2019Review
- TheFrontiers in microbiology · 2019Article
- Safety Assessment of Lactobacillus helveticus KLDS1.8701 Based on Whole Genome Sequencing and Oral Toxicity Studies.Toxins · 2017Article
- Lactic Acid Bacteria and Their Bacteriocins: Classification, Biosynthesis and Applications against Uropathogens: A Mini-Review.Molecules (Basel, Switzerland) · 2017Review
- "I Am I and My Bacterial Circumstances": Linking Gut Microbiome, Neurodevelopment, and Depression.Frontiers in psychiatry · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the production of fermented foods, microbes play an important role. Optimization of fermentation processes or starter culture production traditionally was a trial-and-error approach inspired by expert knowledge of the fermentation process. Current developments in high-throughput 'omics' technologies allow developing more rational approaches to improve fermentation processes both from the food functionality as well as from the food safety perspective. Here, the authors thematically review typical bioinformatics techniques and approaches to improve various aspects of the microbial production of fermented food products and food safety.
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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.