  Parcellations are fundamental tools in neuroanatomy, allowing researchers to
place functional imaging and molecular data within a structural context in the
brain. Visualizing these parcellations is critical to guide biological
understanding of clinical and experimental datasets in humans and model
organisms. However, software used to visualize parcellations is different from
the one used to analyze these datasets, greatly limiting the visualization of
experimental data within parcellations. We present coldcuts, an open source R
package that allows to automatically generate, store and visualize any
volume-based parcellation easily and with minimal manual curation. coldcuts
allows to integrate external datasets and offers rich 2D and 3D visualizations.
coldcuts is freely available at http://github.com/langleylab/coldcuts and
several curated coldcuts objects are made available for human, mouse,
chimpanzee and Drosophila parcellations at
https://github.com/langleylab/coldcuts_segmentations.
