Evidence map›Paper›PMID 38819567›Full record

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

Comparative Analyses of Bacteriophage Genomes.

Fernando Pacheco Nobre Rossi, Vinicius Sousa Flores, Guillermo Uceda-Campos, Deyvid Emanuel Amgarten, João Carlos Setubal, Aline Maria da Silva

Abstract readComparative Study
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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  5. 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

6 authors.

Fernando Pacheco Nobre RossiDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Vinicius Sousa FloresDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Guillermo Uceda-CamposDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Deyvid Emanuel AmgartenHospital Israelita Albert Einstein, Sao Paulo, Brazil.
João Carlos SetubalDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Aline Maria da SilvaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil. almsilva@iq.usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial viruses (bacteriophages or phages) are the most abundant and diverse biological entities on Earth. There is a renewed worldwide interest in phage-centered research motivated by their enormous potential as antimicrobials to cope with multidrug-resistant pathogens. An ever-growing number of complete phage genomes are becoming available, derived either from newly isolated phages (cultivated phages) or recovered from metagenomic sequencing data (uncultivated phages). Robust comparative analysis is crucial for a comprehensive understanding of genotypic variations of phages and their related evolutionary processes, and to investigate the interaction mechanisms between phages and their hosts. In this chapter, we present a protocol for phage comparative genomics employing tools selected out of the many currently available, focusing on complete genomes of phages classified in the class Caudoviricetes. This protocol provides accurate identification of similarities, differences, and patterns among new and previously known complete phage genomes as well as phage clustering and taxonomic classification.

Indexed as

BacteriophagesGenome, ViralGenomicsComputational BiologyMetagenomicsPhylogenyBioinformaticsComparative genomicsFunctional annotationPhagePhage clusteringProphage

Identifiers

PMID38819567

What OpenQuestion holds

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Registered trials

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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.