Evidence map›Paper›PMID 38310342›Full record

ArticleBioinformatics (Oxford, England)2024

PERSEUS: an interactive and intuitive web-based tool for pedigree visualization.

Nicole Pradas, Federico Jurado-Ruiz, Carles Onielfa, Pere Arús, Maria José Aranzana

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Nicole PradasCentre for Research in Agricultural Genomics (CRAG), Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain.
Federico Jurado-RuizCentre for Research in Agricultural Genomics (CRAG), Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain.
Carles OnielfaCentre for Research in Agricultural Genomics (CRAG), Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain.
Pere ArúsCentre for Research in Agricultural Genomics (CRAG), Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain.
Maria José AranzanaCentre for Research in Agricultural Genomics (CRAG), Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain.ORCID 0000-0002-0240-8021

Funding

Agency for Management of University and Research GrantsEuropean Social Fund
6 · The paper itself

Abstract

summaryPedigree-based analyses' prime role is to unravel relationships between individuals in breeding programs and germplasms. This is critical information for decoding the genetics underlying main inherited traits of relevance, and unlocking the genotypic variability of a species to carry out genomic selections and predictions. Despite the great interest, current lineage visualizations become quite limiting in terms of public display, exploration, and tracing of traits up to ancestral donors. PERSEUS is a user-friendly, intuitive, and interactive web-based tool for pedigree visualizations represented as directed graph networks distributed using a force-repulsion method. The visualizations do not only showcase individual relationships among accessions, but also facilitate a seamless search and download of phenotypic traits along the pedigrees. PERSEUS is a promising tool for breeders and scientists, advantageous for evolutionary, genealogy, and diversity analyses among related accessions and species. AVAILABILITY AND IMPLEMENTATION: PERSEUS is freely accessible at https://bioinformatics.cragenomica.es/perseus and GitHub code is available at https://github.com/aranzana-lab/PERSEUS.

Indexed as

GenomicsSoftwareGenomeHumansInternetPedigree

Identifiers

PMID38310342
PMCPMC10898331

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.