Evidence map›Paper›PMID 34280547›Full record

ArticleGenomics, proteomics & bioinformatics2022

i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data.

Arsenij Ustjanzew, Jens Preussner, Mette Bentsen, Carsten Kuenne, Mario Looso

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Arsenij UstjanzewMax Planck Institute for Heart and Lung Research, Bioinformatics Unit, D-61231 Bad Nauheim, Germany.
Jens PreussnerMax Planck Institute for Heart and Lung Research, Bioinformatics Unit, D-61231 Bad Nauheim, Germany.
Mette BentsenMax Planck Institute for Heart and Lung Research, Bioinformatics Unit, D-61231 Bad Nauheim, Germany.
Carsten KuenneMax Planck Institute for Heart and Lung Research, Bioinformatics Unit, D-61231 Bad Nauheim, Germany.
Mario LoosoMax Planck Institute for Heart and Lung Research, Bioinformatics Unit, D-61231 Bad Nauheim, Germany. Electronic address: Mario.Looso@mpi-bn.mpg.de.
Max Planck Institute for Heart and Lung Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data. A suitable visualization has to be intuitive and accessible. Web-based dashboards have become popular tools for the arrangement, consolidation, and display of such visualizations. However, the combination of automated data processing pipelines handling omics data and dynamically generated, interactive dashboards is poorly solved. Here, we present i2dash, an R package intended to encapsulate functionality for the programmatic creation of customized dashboards. It supports interactive and responsive (linked) visualizations across a set of predefined graphical layouts. i2dash addresses the needs of data analysts/software developers for a tool that is compatible and attachable to any R-based analysis pipeline, thereby fostering the separation of data visualization on one hand and data analysis tasks on the other hand. In addition, the generic design of i2dash enables the development of modular extensions for specific needs. As a proof of principle, we provide an extension of i2dash optimized for single-cell RNA sequencing analysis, supporting the creation of dashboards for the visualization needs of such experiments. Equipped with these features, i2dash is suitable for extensive use in large-scale sequencing/bioinformatics facilities. Along this line, we provide i2dash as a containerized solution, enabling a straightforward large-scale deployment and sharing of dashboards using cloud services. i2dash is freely available via the R package archive CRAN (https://CRAN.R-project.org/package=i2dash).

Indexed as

Computational BiologySoftwareData AnalysisInternetSequence Analysis, RNAAutomationCloudDashboardData analysisData visualization

Identifiers

PMID34280547
PMCPMC9801041
OpenAlexW3184994976

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.