ArticleBioinformatics (Oxford, England)2019
WIlsON: Web-based Interactive Omics VisualizatioN.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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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.
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Who cites it
16 citing papers in PubMed.
- xOmicsShiny: an R Shiny application for cross-omics data analysis and pathway mapping.Bioinformatics advances · 2025Article
- Integrated multi-omics analysis of PBX1 in mouse adult neural stem- and progenitor cells identifies a transcriptional module that functionally links PBX1 to TCF3/4.Nucleic acids research · 2024Article
- The innate immune regulator MyD88 dampens fibrosis during zebrafish heart regeneration.Nature cardiovascular research · 2024Article
- Article
- OmicNavigator: open-source software for the exploration, visualization, and archival of omic studies.BMC bioinformatics · 2024Article
- Bioinformatics for wet-lab scientists: practical application in sequencing analysis.BMC genomics · 2023Article
- i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data.Genomics, proteomics & bioinformatics · 2022Article
- OmicLoupe: facilitating biological discovery by interactive exploration of multiple omic datasets and statistical comparisons.BMC bioinformatics · 2021Article
- Ethephon Activates the Transcription of Senescence-Associated Genes and Nitrogen Mobilization in Grapevine Leaves (Plants (Basel, Switzerland) · 2021Article
- ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets.Computational and structural biotechnology journal · 2021Article
- ideal: an R/Bioconductor package for interactive differential expression analysis.BMC bioinformatics · 2020Article
- A single-cell RNA-sequencing training and analysis suite using the Galaxy framework.GigaScience · 2020Article
- bigPint: A Bioconductor visualization package that makes big data pint-sized.PLoS computational biology · 2020Article
- Software tools, databases and resources in metabolomics: updates from 2018 to 2019.Metabolomics : Official journal of the Metabolomic Society · 2020Review
- Omics Playground: a comprehensive self-service platform for visualization, analytics and exploration of Big Omics Data.NAR genomics and bioinformatics · 2020Article
- pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components.BMC bioinformatics · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationHigh throughput (HT) screens in the omics field are typically analyzed by automated pipelines that generate static visualizations and comprehensive spreadsheet data for scientists. However, exploratory and hypothesis driven data analysis are key aspects of the understanding of biological systems, both generating extensive need for customized and dynamic visualization.
resultsHere we describe WIlsON, an interactive workbench for analysis and visualization of multi-omics data. It is primarily intended to empower screening platforms to offer access to pre-calculated HT screen results to the non-computational scientist. Facilitated by an open file format, WIlsON supports all types of omics screens, serves results via a web-based dashboard, and enables end users to perform analyses and generate publication-ready plots. AVAILABILITY AND IMPLEMENTATION: We implemented WIlsON in R with a focus on extensibility using the modular Shiny and Plotly frameworks. A demo of the interactive workbench without limitations may be accessed at http://loosolab.mpi-bn.mpg.de. A standalone Docker container as well as the source code of WIlsON are freely available from our Docker hub https://hub.docker. com/r/loosolab/wilson, CRAN https://cran.r-project.org/web/packages/wilson/, and GitHub repository https://github.molgen.mpg.de/loosolab/wilson-apps, respectively.
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Registered trials
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.