Porcupine: A visual pipeline tool for neuroimaging analysis

Publishing date: 2018-05-10

Published on: PLOS Computational Biology

summary: The field of neuroimaging is rapidly adopting a more reproducible approach to data acquisition and analysis. Data structures and formats are being standardised and data analyses are getting more automated. However, as data analysis becomes more complicated, researchers often have to write longer analysis scripts, spanning different tools across multiple programming languages. This makes it more difficult to share or recreate code, reducing the reproducibility of the analysis. We present a tool, Porcupine, that constructs one’s analysis visually and automatically produces analysis code. The graphical representation improves understanding of the performed analysis, while retaining the flexibility of modifying the produced code manually to custom needs.

authors: Tim van Mourik, Lukas Snoek, Tomas Knapen, David G. Norris

link to paper: 10.1371/journal.pcbi.1006064

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