Evidence map›Paper›PMID 37819522›Full record

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

Broad Genome Sequencing of Environmental and Clinical Strains and Genotyping.

Alfonso Esposito, Silvano Piazza

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, top 54% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Alfonso EspositoFaculty of Medicine and Surgery, "Kore" University of Enna, Enna, Italy. alfonso.esposito@unikore.it.
Silvano PiazzaComputational Biology Unit, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy.
International Centre for Genetic Engineering and Biotechnology · ITUniversità degli Studi di Enna Kore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Next-Generation Sequencing revolution had a great impact on the genomics of Pseudomonas aeruginosa. Since the first release of the P. aeruginosa PAO1 genome, there are more than 5700 genomes published. This wealth of information has been accompanied by the development of bioinformatic tools for handling genomic and phenotypic data. Bioinformatics, indeed, become de facto a big data science. In this chapter, we give a brief historical overview of the knowledge gained from P. aeruginosa genome sequencing, then we describe the wet-lab procedure to extract the DNA and prepare the library for broad genome sequencing using Illumina MiSeq technology. As last, we describe three user-friendly bioinformatics procedures to infer the P. aeruginosa genotype, starting from NGS data, with the Multi-Locus Sequence Typing method, and visualize it as a minimum spanning tree.

Indexed as

Computational BiologyGenomicsGenomeGenotypeHigh-Throughput Nucleotide SequencingMultilocus Sequence TypingPseudomonas aeruginosaSequence Analysis, DNADNA extractioneBURSTGenome sequencingGenotypingMinimum spanning treeNext-generation sequencingPseudomonas aeruginosa

Identifiers

PMID37819522
OpenAlexW4387539066

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.