Evidence map›Paper›PMID 35163319›Full record

ReviewInternational journal of molecular sciences2022

Application and Challenge of 3rd Generation Sequencing for Clinical Bacterial Studies.

Mariem Ben Khedher, Kais Ghedira, Jean-Marc Rolain, Raymond Ruimy, Olivier Croce

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  19. Siphophage 0105phi7-2 ofInternational journal of molecular sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Mariem Ben KhedherBacteriology Laboratory, Archet 2 Hospital, CHU Nice, 06000 Nice, France.
Kais GhediraLaboratory of Bioinformatics, Biomathematics and Biostatistics, Institute Pasteur of Tunis, Tunis 1002, Tunisia.ORCID 0000-0002-3387-6493
Jean-Marc RolainIRD, APHM, MEPHI, IHU-Méditerranée Infection, Aix Marseille Université, 13005 Marseille, France.
Raymond RuimyBacteriology Laboratory, Archet 2 Hospital, CHU Nice, 06000 Nice, France.
Olivier CroceInstitute for Research on Cancer and Aging Nice (IRCAN), CNRS, INSERM, Université Côte d'Azur, 06108 Nice, France.ORCID 0000-0002-7342-3157
Centre National de la Recherche Scientifique · FRAix-Marseille Université · FRInserm · FRInstitut Pasteur de Tunis · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 25 years, the powerful combination of genome sequencing and bioinformatics analysis has played a crucial role in interpreting information encoded in bacterial genomes. High-throughput sequencing technologies have paved the way towards understanding an increasingly wide range of biological questions. This revolution has enabled advances in areas ranging from genome composition to how proteins interact with nucleic acids. This has created unprecedented opportunities through the integration of genomic data into clinics for the diagnosis of genetic traits associated with disease. Since then, these technologies have continued to evolve, and recently, long-read sequencing has overcome previous limitations in terms of accuracy, thus expanding its applications in genomics, transcriptomics and metagenomics. In this review, we describe a brief history of the bacterial genome sequencing revolution and its application in public health and molecular epidemiology. We present a chronology that encompasses the various technological developments: whole-genome shotgun sequencing, high-throughput sequencing, long-read sequencing. We mainly discuss the application of next-generation sequencing to decipher bacterial genomes. Secondly, we highlight how long-read sequencing technologies go beyond the limitations of traditional short-read sequencing. We intend to provide a description of the guiding principles of the 3rd generation sequencing applications and ongoing improvements in the field of microbial medical research.

Indexed as

AnimalsBacteriaComputational BiologyGenome, BacterialHigh-Throughput Nucleotide SequencingHumansMetagenomicsMolecular EpidemiologyWhole Genome Sequencingbacterial genomesgenomicslong-read sequencingmetagenomicsmetatranscriptomicsnext-generation sequencingtranscriptomicswhole-genome sequencing (WGS)

Identifiers

PMID35163319
PMCPMC8835973
OpenAlexW4210299461

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.