Evidence map›Paper›PMID 19828083›Full record

ArticleBMC bioinformatics2009

XML-based approaches for the integration of heterogeneous bio-molecular data.

Marco Mesiti, Ernesto Jiménez-Ruiz, Ismael Sanz, Rafael Berlanga-Llavori, Paolo Perlasca, Giorgio Valentini, David Manset

Abstract read
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Semantically Interoperable XML Data.International journal of semantic computing · 2013
    Article
  8. Article
  9. Article
  10. Article
  11. Managing and Querying Image Annotation and Markup in XML.Proceedings of SPIE--the International Society for Optical Engineering · 2010
    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 MesitiUniversità degli Studi di Milano, Via Comelico 39, Milan, Italy. mesiti@dico.unimi.it
Ernesto Jiménez-Ruiz
Ismael Sanz
Rafael Berlanga-Llavori
Paolo Perlasca
Giorgio Valentini
David Manset

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe today's public database infrastructure spans a very large collection of heterogeneous biological data, opening new opportunities for molecular biology, bio-medical and bioinformatics research, but raising also new problems for their integration and computational processing.

resultsIn this paper we survey the most interesting and novel approaches for the representation, integration and management of different kinds of biological data by exploiting XML and the related recommendations and approaches. Moreover, we present new and interesting cutting edge approaches for the appropriate management of heterogeneous biological data represented through XML.

conclusionXML has succeeded in the integration of heterogeneous biomolecular information, and has established itself as the syntactic glue for biological data sources. Nevertheless, a large variety of XML-based data formats have been proposed, thus resulting in a difficult effective integration of bioinformatics data schemes. The adoption of a few semantic-rich standard formats is urgent to achieve a seamless integration of the current biological resources.

Indexed as

Programming LanguagesComputational BiologyDatabases, FactualDatabases, GeneticGenomicsMutationPolymorphism, Genetic

Identifiers

PMID19828083
PMCPMC2762072

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.