Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration.

Levin, Michael.
Lobo, Daniel.
2015

Transformative applications in biomedicine require the discovery of complex regulatory networks that explain the development and regeneration of anatomical structures, and reveal what external signals will trigger desired changes of large-scale pattern. Despite recent advances in bioinformatics, extracting mechanistic pathway models from experimental morphological data is a key open challenge that... read more

Subjects
Regeneration (Biology)
Planaria.
Gene regulatory networks.
Phenotype.
Tufts University. Department of Biology.
Permanent URL
http://hdl.handle.net/10427/009722
Original publication
Lobo D, Levin M (2015) Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration. PLoS Comput Biol 11(6): e1004295. doi:10.1371/journal.pcbi.1004295.
ID: tufts:18179
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