Evidence map›Paper›PMID 19420069›Full record

ArticleBioinformatics (Oxford, England)2009

DASMI: exchanging, annotating and assessing molecular interaction data.

Hagen Blankenburg, Robert D Finn, Andreas Prlić, Andrew M Jenkinson, Fidel Ramírez, Dorothea Emig, Sven-Eric Schelhorn, Joachim Büch, Thomas Lengauer, Mario Albrecht

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. GIDMP: good protein-protein interaction data metamining practice.Cellular & molecular biology letters · 2011
    Article
  5. Article
  6. 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

10 authors.

Hagen BlankenburgMax Planck Institute for Informatics, Campus E 1.4, 66123 Saarbrücken, Germany.
Robert D Finn
Andreas Prlić
Andrew M Jenkinson
Fidel Ramírez
Dorothea Emig
Sven-Eric Schelhorn
Joachim Büch
Thomas Lengauer
Mario Albrecht

Funding

Wellcome Trust 077198
6 · The paper itself

Abstract

motivationEver increasing amounts of biological interaction data are being accumulated worldwide, but they are currently not readily accessible to the biologist at a single site. New techniques are required for retrieving, sharing and presenting data spread over the Internet.

resultsWe introduce the DASMI system for the dynamic exchange, annotation and assessment of molecular interaction data. DASMI is based on the widely used Distributed Annotation System (DAS) and consists of a data exchange specification, web servers for providing the interaction data and clients for data integration and visualization. The decentralized architecture of DASMI affords the online retrieval of the most recent data from distributed sources and databases. DASMI can also be extended easily by adding new data sources and clients. We describe all DASMI components and demonstrate their use for protein and domain interactions. AVAILABILITY: The DASMI tools are available at http://www.dasmi.de/ and http://ipfam.sanger.ac.uk/graph. The DAS registry and the DAS 1.53E specification is found at http://www.dasregistry.org/.

Indexed as

Protein Interaction MappingSoftwareComputational BiologyDatabase Management SystemsDatabases, GeneticInternetProteinsUser-Computer InterfaceProteins

Identifiers

PMID19420069
PMCPMC2677739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.