ReviewJournal of applied genetics2019
A crash course in sequencing for a microbiologist.
Review in Journal of applied genetics, 2019. 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, 28 citations in OpenAlex.
- Benchmarking Illumina and Oxford Nanopore Technologies (ONT) sequencing platforms for whole genome sequencing of bacterial genomes and use in clinical microbiology.BMC medical genomics · 2026Article
- Endophytic Microbial Community Structure and Dynamics Influence Agarwood Formation in Aquilaria malaccensis Lam.Current microbiology · 2025Article
- Deciphering the role of female reproductive tract microbiome in reproductive health: a review.Frontiers in cellular and infection microbiology · 2024Review
- Effect of Antibiotic Eye Drops on the Nasal Microbiome in Healthy Subjects-A Pilot Study.Antibiotics (Basel, Switzerland) · 2023Article
- Analysis and Interpretation of metagenomics data: an approach.Biological procedures online · 2022Review
- Ecosystem-specific microbiota and microbiome databases in the era of big data.Environmental microbiome · 2022Review
- The Clinical View onFrontiers in microbiology · 2022Review
- Application of Deep Learning on the Prognosis of Cutaneous Melanoma Based on Full Scan Pathology Images.BioMed research international · 2022Article
- Beating the Bio-Terror Threat with Rapid Antimicrobial Susceptibility Testing.Microorganisms · 2021Review
- Review
- How industrial bacterial cultures can be kept stable over time.Letters in applied microbiology · 2020Review
- A rapid high-throughput sequencing-based approach for the identification of unknown bacterial pathogens in whole blood.Future science OA · 2020Article
- Sulfation pathways from red to green.The Journal of biological chemistry · 2019Review
- Whole Genome Sequencing for Surveillance of Diphtheria in Low Incidence Settings.Frontiers in public health · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
For the last 40 years, "Sanger sequencing" allowed to unveil crucial secrets of life. However, this method of sequencing has been time-consuming, laborious and remains expensive even today. Human Genome Project was a huge impulse to improve sequencing technologies, and unprecedented financial and human effort prompted the development of cheaper high-throughput technologies and strategies called next-generation sequencing (NGS) or whole genome sequencing (WGS). This review will discuss applications of high-throughput methods to study bacteria in a much broader context than simply their genomes. The major goal of next-generation sequencing for a microbiologist is not really resolving another circular genomic sequence. NGS started its infancy from basic structural and functional genomics, to mature into the molecular taxonomy, phylogenetic and advanced comparative genomics. Today, the use of NGS expended capabilities of diagnostic microbiology and epidemiology. The use of RNA sequencing techniques allows studying in detail the complex regulatory processes in the bacterial cells. Finally, NGS is a key technique to study the organization of the bacterial life-from complex communities to single cells. The major challenge in understanding genomic and transcriptomic data lies today in combining it with other sources of global data such as proteome and metabolome, which hopefully will lead to the reconstruction of regulatory networks within bacterial cells that allow communicating with the environment (signalome and interactome) and virtual cell reconstruction.
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.