Evidence map›Paper›PMID 24336804›Full record

ArticleBioinformatics (Oxford, England)2014

DIVE: a data intensive visualization engine.

Dennis Bromley, Steven J Rysavy, Robert Su, Rudesh D Toofanny, Tom Schmidlin, Valerie Daggett

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Big data in medicine is driving big changes.Yearbook of medical informatics · 2014
    Review
  4. 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

6 authors.

Dennis BromleyDivision of Biomedical and Health Informatics, University of Washington Medical School and Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Steven J Rysavy
Robert Su
Rudesh D Toofanny
Tom Schmidlin
Valerie Daggett

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
MOLECULAR DYNAMICS SIMULATIONS OF PROTEIN UNFOLDINGR01GM050789 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAGGETT, VALERIE D · 2000 to 2014
$3.9M
MOLECULAR DYNAMICS SIMULATIONS OF PROTEIN UNFOLDINGR29GM050789 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAGGETT, VALERIE D · 1995 to 1999
–
NIGMS NIH HHS GM50789NIGMS NIH HHS R01 GM050789NLM NIH HHS 5T15LM007442NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

summaryModern scientific investigation is generating increasingly larger datasets, yet analyzing these data with current tools is challenging. DIVE is a software framework intended to facilitate big data analysis and reduce the time to scientific insight. Here, we present features of the framework and demonstrate DIVE's application to the Dynameomics project, looking specifically at two proteins. AVAILABILITY AND IMPLEMENTATION: Binaries and documentation are available at http://www.dynameomics.org/DIVE/DIVESetup.exe.

Indexed as

Computer GraphicsSoftwareComputational BiologyComputer SimulationDocumentationHumansMutant ProteinsMutationSuperoxide DismutaseSuperoxide Dismutase-1Tumor Suppressor Protein p53Mutant ProteinsSOD1 protein, humanSuperoxide DismutaseSuperoxide Dismutase-1TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID24336804
PMCPMC3928528

What OpenQuestion holds

Textmetadata
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.