Evidence map›Paper›PMID 30737915›Full record

ReviewMicrobiology spectrum2019

Platforms and Analytical Tools Used in Nucleic Acid Sequence-Based Microbial Genotyping Procedures.

Duncan MacCannell

Open access · greenAbstract readReview
In one paragraph

Review in Microbiology spectrum, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Pathogen Genomics in Public Health.The New England journal of medicine · 2019
    Article
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

1 author at 1 institution in 1 country.

Duncan MacCannellOffice of Advanced Molecular Detection, National Center for Zoonotic and Emerging Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333.
National Center for Emerging and Zoonotic Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the decade and a half since the introduction of next-generation sequencing (NGS), the technical feasibility, cost, and overall utility of sequencing have changed dramatically, including applications for infectious disease epidemiology. Massively parallel sequencing technologies have decreased the cost of sequencing by more than 6 orders or magnitude over this time, with a corresponding increase in data generation and complexity. This review provides an overview of the basic principles, chemistry, and operational mechanics of current sequencing technologies, including both conventional Sanger and NGS approaches. As the generation of large amounts of sequence data becomes increasingly routine, the role of bioinformatics in data analysis and reporting becomes all the more critical, and the successful deployment of NGS in public health settings requires careful consideration of changing information technology, bioinformatics, workforce, and regulatory requirements. While there remain important challenges to the sustainable implementation of NGS in public health, in terms of both laboratory and bioinformatics capacity, the impact of these technologies on infectious disease surveillance and outbreak investigations has been nothing short of revolutionary. Understanding the important role that NGS plays in modern public health laboratory practice is critical, as is the need to ensure appropriate workforce, infrastructure, facilities, and funding consideration for routine NGS applications, future innovation, and rapidly scaling NGS-based infectious disease surveillance and outbreak response activities. *This article is part of a curated collection.

Indexed as

Computational BiologyData AnalysisDNAGene LibraryHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNADNA

Identifiers

PMID30737915
PMCPMC11588150
OpenAlexW2913879964

What OpenQuestion holds

Textmetadata
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.