Abstract
Motivation Planarians are a widespread model for studying regeneration. Major efforts for studying gene function in planarian regeneration produced massive datasets, including transcriptome-wide gene expression analyses from hundreds of conditions. However, the accessibility of gene expression datasets to investigators is limited because of the need for expertise in gene expression analysis in this model, the requirement for computational resources, and the lack of a curated planarian gene expression metadata resource associating samples and their controls.
Results We implemented a computational resource, PLANAtools, that is available online and provides a portal to the analysis of over 160 gene expression analyses. Planarian gene expression datasets from the last decade were processed using a standardized pipeline based on curated planarian metadata. PLANAtools generates plots, annotations, and analyses of gene expression data, based on user parameters.
Availability PLANAtools is implemented using the R/Shiny framework and is accessible from https://wurtzellab.org/planatools
Competing Interest Statement
The authors have declared no competing interest.
