Cargando…
Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration
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, ext...
Autores principales: | Lobo, Daniel, Levin, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456145/ https://www.ncbi.nlm.nih.gov/pubmed/26042810 http://dx.doi.org/10.1371/journal.pcbi.1004295 |
Ejemplares similares
-
Modeling Planarian Regeneration: A Primer for Reverse-Engineering the Worm
por: Lobo, Daniel, et al.
Publicado: (2012) -
Physiological controls of large‐scale patterning in planarian regeneration: a molecular and computational perspective on growth and form
por: Durant, Fallon, et al.
Publicado: (2016) -
An insight into planarian regeneration
por: Ge, Xin‐Yang, et al.
Publicado: (2022) -
A non-linear reverse-engineering method for inferring genetic regulatory networks
por: Wu, Siyuan, et al.
Publicado: (2020) -
Temporal regulation of planarian eye regeneration
por: Deochand, Michelle E., et al.
Publicado: (2016)