Evidence map›Paper›PMID 32138767›Full record

ArticleGenome biology2020

WhatsGNU: a tool for identifying proteomic novelty.

Ahmed M Moustafa, Paul J Planet

Abstract read
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Carbapenem-resistantMicrobiology spectrum · 2026
    Article
  4. Article
  5. Article
  6. Phenotypic and genetic heterogeneity ofMicrobial genomics · 2025
    Article
  7. Article
  8. Article
  9. Parallel evolution of linezolid-resistantMicrobiology spectrum · 2023
    Article
  10. Parallel Evolution of Linezolid ResistantbioRxiv : the preprint server for biology · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Comparative genomics in infectious disease.Current opinion in microbiology · 2020
    Review
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.

Ahmed M MoustafaDivision of Pediatric Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Paul J PlanetDivision of Pediatric Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. planetp@email.chop.edu.

Funding

Bacterial Interference to Prevent Staphylococcus aureus InfectionR01AI137526 · NIAID · CHILDREN'S HOSP OF PHILADELPHIA · PI PLANET, PAUL J · 2018 to 2021
$1.7M
Role of Staphylococcus aureus SpA in Microbial Competition and Host ColonizationK08AI101005 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PLANET, PAUL J · 2012 to 2014
$405k
NIAID NIH HHS K08 AI101005NIAID NIH HHS R01 AI137526NIH HHS 1K08AI101005NIH HHS 1R01AI137526-01
6 · The paper itself

Abstract

To understand diversity in enormous collections of genome sequences, we need computationally scalable tools that can quickly contextualize individual genomes based on their similarities and identify features of each genome that make them unique. We present WhatsGNU, a tool based on exact match proteomic compression that, in seconds, classifies any new genome and provides a detailed report of protein alleles that may have novel functional differences. We use this technique to characterize the total allelic diversity (panallelome) of Salmonella enterica, Mycobacterium tuberculosis, Pseudomonas aeruginosa, and Staphylococcus aureus. It could be extended to others. WhatsGNU is available from https://github.com/ahmedmagds/WhatsGNU.

Indexed as

SoftwareBacterial ProteinsGene FrequencyGenome, BacterialMycobacterium tuberculosisProteomicsPseudomonas aeruginosaSalmonella entericaStaphylococcus aureusBacterial ProteinsblastpCompressionMicrobial genomicsM. tuberculosisP. aeruginosaPanallelomePangenomeS. aureusS. enterica

Identifiers

PMID32138767
PMCPMC7059281

What OpenQuestion holds

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LicenceCC BY
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.