Planform: an application and database of graph-encoded planarian regenerative experiments

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Citation of Original Publication

Lobo, Daniel, Taylor J. Malone, and Michael Levin. “Planform: An Application and Database of Graph-Encoded Planarian Regenerative Experiments.” Bioinformatics 29, no. 8 (April 15, 2013): 1098–1100. https://doi.org/10.1093/bioinformatics/btt088.

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Abstract

Summary: Understanding the mechanisms governing the regeneration capabilities of many organisms is a fundamental interest in biology and medicine. An ever-increasing number of manipulation and molecular experiments are attempting to discover a comprehensive model for regeneration, with the planarian flatworm being one of the most important model species. Despite much effort, no comprehensive, constructive, mechanistic models exist yet, and it is now clear that computational tools are needed to mine this huge dataset. However, until now, there is no database of regenerative experiments, and the current genotype–phenotype ontologies and databases are based on textual descriptions, which are not understandable by computers. To overcome these difficulties, we present here Planform (Planarian formalization), a manually curated database and software tool for planarian regenerative experiments, based on a mathematical graph formalism. The database contains more than a thousand experiments from the main publications in the planarian literature. The software tool provides the user with a graphical interface to easily interact with and mine the database. The presented system is a valuable resource for the regeneration community and, more importantly, will pave the way for the application of novel artificial intelligence tools to extract knowledge from this dataset.Availability: The database and software tool are freely available at http://planform.daniel-lobo.com.Contact:  michael.levin@tufts.edu