Evidence map›Paper›PMID 32028885›Full record

ArticleBMC bioinformatics2020

PANEV: an R package for a pathway-based network visualization.

Valentino Palombo, Marco Milanesi, Gabriella Sferra, Stefano Capomaccio, Sandy Sgorlon, Mariasilvia D'Andrea

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 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
1.9field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  5. Physiological impact of amino acids during heat stress in ruminants.Animal frontiers : the review magazine of animal agriculture · 2023
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  6. Article
  7. Article
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  9. PathIN: an integrated tool for the visualization of pathway interaction networks.Computational and structural biotechnology journal · 2023
    Article
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  11. Review
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  13. Article
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  15. Article
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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 at 3 institutions in 2 countries.

Valentino PalomboDipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, 86100, Campobasso, Italy.
Marco MilanesiDepartment of Support, Production and Animal Health, School of Veterinary Medicine, São Paulo State University, Araçatuba, São Paulo, 16050-680, Brazil.
Gabriella SferraDipartimento di Bioscienze e Territorio, Università degli Studi del Molise, 86090, Pesche, IS, Italy.
Stefano CapomaccioIstituto di Zootecnica, Università Cattolica del Sacro Cuore, 29122, Piacenza, Italy.
Sandy SgorlonDipartimento di Scienze Agrarie ed Ambientali, Università degli Studi di Udine, 33100, Udine, Italy.
Mariasilvia D'AndreaDipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, 86100, Campobasso, Italy. dandrea@unimol.it.ORCID http://orcid.org/0000-0002-8932-4057
University of Molise · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the last decade, with the aim to solve the challenge of post-genomic and transcriptomic data mining, a plethora of tools have been developed to create, edit and analyze metabolic pathways. In particular, when a complex phenomenon is considered, the creation of a network of multiple interconnected pathways of interest could be useful to investigate the underlying biology and ultimately identify functional candidate genes affecting the trait under investigation.

resultsPANEV (PAthway NEtwork Visualizer) is an R package set for gene/pathway-based network visualization. Based on information available on KEGG, it visualizes genes within a network of multiple levels (from 1 to n) of interconnected upstream and downstream pathways. The network graph visualization helps to interpret functional profiles of a cluster of genes.

conclusionsThe suite has no species constraints and it is ready to analyze genomic or transcriptomic outcomes. Users need to supply the list of candidate genes, specify the target pathway(s) and the number of interconnected downstream and upstream pathways (levels) required for the investigation. The package is available at https://github.com/vpalombo/PANEV.

Indexed as

SoftwareGene Expression ProfilingGene Regulatory NetworksGenomicsMetabolic Networks and PathwaysData miningGenomic and transcriptomic analysisKEGGMolecular pathwaysPathway visualization

Identifiers

PMID32028885
PMCPMC7006390
OpenAlexW3008945633

What OpenQuestion holds

Textmetadata
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.