Evidence map›Paper›PMID 26055101›Full record

ArticleDatabase : the journal of biological databases and curation2015

kpath: integration of metabolic pathway linked data.

Ismael Navas-Delgado, María Jesús García-Godoy, Esteban López-Camacho, Maciej Rybinski, Armando Reyes-Palomares, Miguel Ángel Medina, José F Aldana-Montes

Abstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. 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. Article
  2. Review
  3. 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

7 authors.

Ismael Navas-DelgadoDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain ismael@lcc.uma.es.
María Jesús García-GodoyDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain.
Esteban López-CamachoDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain.
Maciej RybinskiDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain.
Armando Reyes-PalomaresDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain.
Miguel Ángel MedinaDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain.
José F Aldana-MontesDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, E-29071 Málaga, Spain, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Andalucía Tech, and IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain and CIBER de Enfermedades Raras (CIBERER) E-29071 Málaga, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last few years, the Life Sciences domain has experienced a rapid growth in the amount of available biological databases. The heterogeneity of these databases makes data integration a challenging issue. Some integration challenges are locating resources, relationships, data formats, synonyms or ambiguity. The Linked Data approach partially solves the heterogeneity problems by introducing a uniform data representation model. Linked Data refers to a set of best practices for publishing and connecting structured data on the Web. This article introduces kpath, a database that integrates information related to metabolic pathways. kpath also provides a navigational interface that enables not only the browsing, but also the deep use of the integrated data to build metabolic networks based on existing disperse knowledge. This user interface has been used to showcase relationships that can be inferred from the information available in several public databases.

Indexed as

MetabolomeUser-Computer Interface

Identifiers

PMID26055101
PMCPMC4460419

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.