Evidence map›Paper›PMID 35283898›Full record

ArticleFrontiers in plant science2022

A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape.

Marco Moretto, Paolo Sonego, Stefania Pilati, José Tomás Matus, Laura Costantini, Giulia Malacarne, Kristof Engelen

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. GrapevineBiomolecules · 2022
    Article
  3. 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

7 authors.

Marco MorettoUnit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Paolo SonegoUnit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Stefania PilatiUnit of Plant Biology and Physiology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
José Tomás MatusInstitute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Paterna, Spain.
Laura CostantiniUnit of Grapevine Genetics and Breeding, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Giulia MalacarneUnit of Plant Biology and Physiology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Kristof EngelenUnit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Successfully integrating transcriptomic experiments is a challenging task with the ultimate goal of analyzing gene expression data in the broader context of all available measurements, all from a single point of access. In its second major release VESPUCCI, the integrated database of gene expression data for grapevine, has been updated to be FAIR-compliant, employing standards and created with open-source technologies. It includes all public grapevine gene expression experiments from both microarray and RNA-seq platforms. Transcriptomic data can be accessed in multiple ways through the newly developed COMPASS GraphQL interface, while the expression values are normalized using different methodologies to flexibly satisfy different analysis requirements. Sample annotations are manually curated and use standard formats and ontologies. The updated version of VESPUCCI provides easy querying and analyzing of integrated grapevine gene expression (meta)data and can be seamlessly embedded in any analysis workflow or tools. VESPUCCI is freely accessible and offers several ways of interaction, depending on the specific goals and purposes and/or user expertise; an overview can be found at https://vespucci.readthedocs.io/.

Indexed as

compendiumFAIRgene expressiongrapevinePythonRtranscriptomics

Identifiers

PMID35283898
PMCPMC8908374

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.