Evidence map›Paper›PMID 38949713›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Analysis of Whole Genome Sequencing Data for Detection of Antimicrobial Resistance Determinants.

Marie Anne Chattaway

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marie Anne ChattawayGastrointestinal Bacteria Unit, United Kingdom Health Security Agency, London, UK. Marie.Chattaway@ukhsa.gov.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic sequencing has revolutionized microbial typing methods and transformed high-throughput methods in reference, clinical, and research laboratories. The detection of antimicrobial-resistant (AMR) determinants using genomic methods can provide valuable information on the emergence of resistance. Here we describe an approach to detecting AMR determinants using an open access and freely available platform which does not require bioinformatic expertise.

Indexed as

Computational BiologyDrug Resistance, BacterialGenome, BacterialWhole Genome SequencingAnti-Bacterial AgentsBacteriaGenomicsHigh-Throughput Nucleotide SequencingHumansSoftwareAnti-Bacterial AgentsAntimicrobial resistance (AMR) determinantsCenter for genomic epidemiology (CGE)KMERMLSTResFinderSequencing

Identifiers

PMID38949713

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.