High throughput (HT) screens are typically analyzed by automated pipelines in the omics field, generating static visualizations and comprehensive spreadsheets. However, exploratory and hypothesis driven data analysis are key aspects, which benefit considerably from customized and dynamic visualization.
WIlsON is an interactive workbench for analysis and visualization of multi-omics data.
Features:
Easy to use: Any flatfile table/matrix or SummarizedExperiment dataset can be converted to be compatible. It can import any numeric data (e.g. count, score, log2foldchange, z-score, p-value) that originate from any analysis (e.g. RNA-Seq, ChIP-Seq, Mass Spectrometry, Microarray) including attributed values to a feature (e.g. gene, transcript, probe, protein).
Hosting Flexibility: WIlsON can be utilized either R, R Studio, or by downloading a prepackaged Docker image (this works on both, Windows and Linux based systems). This is not a complicated process (one command in case of Docker) and multiple servers can run independently on a single machine. Each server can host multiple datasets.
Tracking/Logging: The underlying R code of a plot can be downloaded for local reproduction or storage.
Transfer: For simple transferal of analysis-ready data to a third party, a new Docker image of a WIlsON server including a number of preinstalled datasets can be created.
Availability:
Manuscript: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/bty711/5078467
Demo server: http://loosolab.mpi-bn.mpg.de
Docker container: https://hub.docker.com/r/loosolab/wilson
