Evidence map›Paper›PMID 35311574›Full record

ReviewMicrobiology and molecular biology reviews : MMBR2022

Computational Tools for the Analysis of Uncultivated Phage Genomes.

Juan Sebastián Andrade-Martínez, Laura Carolina Camelo Valera, Luis Alberto Chica Cárdenas, Laura Forero-Junco, Gamaliel López-Leal, J Leonardo Moreno-Gallego, Guillermo Rangel-Pineros, Alejandro Reyes

Abstract readReview
In one paragraph

Review in Microbiology and molecular biology reviews : MMBR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Gut virome dynamics: from commensal to critical player in health and disease.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  3. Review
  4. Extensive hidden prophage diversity inMicrobiology (Reading, England) · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Microbiology spectrum · 2024
    Article
  18. Tools and methodology toFrontiers in microbiology · 2024
    Review
  19. Freshwater Viral Metagenome Analyses Targeting dsDNA Viruses.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  20. KEGG tools for classification and analysis of viral proteins.Protein science : a publication of the Protein Society · 2023
    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

8 authors.

Juan Sebastián Andrade-MartínezMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0001-7852-630X
Laura Carolina Camelo ValeraMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.
Luis Alberto Chica CárdenasMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.
Laura Forero-JuncoMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0001-7634-1002
Gamaliel López-LealMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0001-6089-9298
J Leonardo Moreno-GallegoMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0001-7596-673X
Guillermo Rangel-PinerosMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0003-3848-4330
Alejandro ReyesMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0003-2907-3265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over a century of bacteriophage research has uncovered a plethora of fundamental aspects of their biology, ecology, and evolution. Furthermore, the introduction of community-level studies through metagenomics has revealed unprecedented insights on the impact that phages have on a range of ecological and physiological processes. It was not until the introduction of viral metagenomics that we began to grasp the astonishing breadth of genetic diversity encompassed by phage genomes. Novel phage genomes have been reported from a diverse range of biomes at an increasing rate, which has prompted the development of computational tools that support the multilevel characterization of these novel phages based solely on their genome sequences. The impact of these technologies has been so large that, together with MAGs (Metagenomic Assembled Genomes), we now have UViGs (Uncultivated Viral Genomes), which are now officially recognized by the International Committee for the Taxonomy of Viruses (ICTV), and new taxonomic groups can now be created based exclusively on genomic sequence information. Even though the available tools have immensely contributed to our knowledge of phage diversity and ecology, the ongoing surge in software programs makes it challenging to keep up with them and the purpose each one is designed for. Therefore, in this review, we describe a comprehensive set of currently available computational tools designed for the characterization of phage genome sequences, focusing on five specific analyses: (i) assembly and identification of phage and prophage sequences, (ii) phage genome annotation, (iii) phage taxonomic classification, (iv) phage-host interaction analysis, and (v) phage microdiversity.

Indexed as

BacteriophagesGenome, ViralGenomicsMetagenomicsPhylogenycomputational analysismicrodiversityphage and prophage identificationphage annotationphage-host interactionphage metagenomicsphage taxonomyuncultivated virusesviromes

Identifiers

PMID35311574
PMCPMC9199400

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.