Evidence map›Paper›PMID 25093072›Full record

ArticleJournal of biomedical semantics2014

Semantic Web repositories for genomics data using the eXframe platform.

Emily Merrill, Stéphane Corlosquet, Paolo Ciccarese, Tim Clark, Sudeshna Das

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2014. 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. Harnessing Big Data for Systems Pharmacology.Annual review of pharmacology and toxicology · 2017
    Review
  2. 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

5 authors.

Emily MerrillMassachusetts General Hospital, Partners Research Building, 65 Landsdowne St, Cambridge, MA, 02139, USA.
Stéphane CorlosquetMassachusetts General Hospital, Partners Research Building, 65 Landsdowne St, Cambridge, MA, 02139, USA.
Paolo CiccareseMassachusetts General Hospital, Partners Research Building, 65 Landsdowne St, Cambridge, MA, 02139, USA ; Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
Tim ClarkMassachusetts General Hospital, Partners Research Building, 65 Landsdowne St, Cambridge, MA, 02139, USA ; Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA ; School of Computer Science, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Sudeshna DasMassachusetts General Hospital, Partners Research Building, 65 Landsdowne St, Cambridge, MA, 02139, USA ; Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the advent of inexpensive assay technologies, there has been an unprecedented growth in genomics data as well as the number of databases in which it is stored. In these databases, sample annotation using ontologies and controlled vocabularies is becoming more common. However, the annotation is rarely available as Linked Data, in a machine-readable format, or for standardized queries using SPARQL. This makes large-scale reuse, or integration with other knowledge bases very difficult.

methodsTo address this challenge, we have developed the second generation of our eXframe platform, a reusable framework for creating online repositories of genomics experiments. This second generation model now publishes Semantic Web data. To accomplish this, we created an experiment model that covers provenance, citations, external links, assays, biomaterials used in the experiment, and the data collected during the process. The elements of our model are mapped to classes and properties from various established biomedical ontologies. Resource Description Framework (RDF) data is automatically produced using these mappings and indexed in an RDF store with a built-in Sparql Protocol and RDF Query Language (SPARQL) endpoint.

conclusionsUsing the open-source eXframe software, institutions and laboratories can create Semantic Web repositories of their experiments, integrate it with heterogeneous resources and make it interoperable with the vast Semantic Web of biomedical knowledge.

Identifiers

PMID25093072
PMCPMC4108874

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.