Evidence map›Paper›PMID 29506467›Full record

ArticleBMC bioinformatics2018

ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models.

Skylar W Marvel, Kimberly To, Fabian A Grimm, Fred A Wright, Ivan Rusyn, David M Reif

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

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16 more citing papers are in PubMed but not listed here.

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.

Skylar W MarvelBioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA.
Kimberly ToBioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA.
Fabian A GrimmDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
Fred A WrightBioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA.
Ivan RusynDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
David M ReifBioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA. dmreif@ncsu.edu.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Thomas Joseph McDonald · 2017 to 2026
$21.2M
Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Andrew R. Binder · 2015 to 2026
$18.3M
GRADUATE TRAINING IN BIOINFORMATICST32ES007329 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Fred A. Wright · 2000 to 2026
$6.8M
NIEHS NIH HHS ES007329NIEHS NIH HHS ES025128NIEHS NIH HHS ES027704NIEHS NIH HHS P30 ES025128NIEHS NIH HHS P42 ES027704NIEHS NIH HHS T32 ES007329Society of Toxicology Syngenta Fellowship AwardU.S. Environmental Protection Agency RD83516608U.S. Environmental Protection Agency RD83580201
6 · The paper itself

Abstract

backgroundDrawing integrated conclusions from diverse source data requires synthesis across multiple types of information. The ToxPi (Toxicological Prioritization Index) is an analytical framework that was developed to enable integration of multiple sources of evidence by transforming data into integrated, visual profiles. Methodological improvements have advanced ToxPi and expanded its applicability, necessitating a new, consolidated software platform to provide functionality, while preserving flexibility for future updates.

resultsWe detail the implementation of a new graphical user interface for ToxPi (Toxicological Prioritization Index) that provides interactive visualization, analysis, reporting, and portability. The interface is deployed as a stand-alone, platform-independent Java application, with a modular design to accommodate inclusion of future analytics. The new ToxPi interface introduces several features, from flexible data import formats (including legacy formats that permit backward compatibility) to similarity-based clustering to options for high-resolution graphical output.

conclusionsWe present the new ToxPi interface for dynamic exploration, visualization, and sharing of integrated data models. The ToxPi interface is freely-available as a single compressed download that includes the main Java executable, all libraries, example data files, and a complete user manual from http://toxpi.org .

Indexed as

Information DisseminationModels, TheoreticalSoftwareUser-Computer InterfaceCluster AnalysisInformation Storage and RetrievalData integrationGraphical user interfaceRisk assessmentSoftware; systems biologyVisual analytics

Identifiers

PMID29506467
PMCPMC5838926

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.