Figures
Navigating the genetic landscape.
Small-scale genetic interactions have been used for decades to unravel biological pathways. In recent years, experimental techniques have been developed to map them at the genome level, providing large-scale genetic interaction networks. In particular, in budding yeast the genetic network mapped by Synthetic Genetic Array was revealed as both a powerful tool to identify functional modules in the cell and a tremendous resource ready for more exploration. This image shows a view of this genetic interaction network visualized with BioLayoutExpress3D. Patterns in the genetic network can help understand the organization of biological processes (see Michaut, et al. doi:10.1371/journal.pcbi.1001092).
Image Credit: Magali Michaut, University of Toronto
Citation: (2011) PLoS Computational Biology Issue Image | Vol. 7(2) February 2011. PLoS Comput Biol 7(2): ev07.i02. https://doi.org/10.1371/image.pcbi.v07.i02
Published: February 24, 2011
Copyright: © 2011 Michaut et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Small-scale genetic interactions have been used for decades to unravel biological pathways. In recent years, experimental techniques have been developed to map them at the genome level, providing large-scale genetic interaction networks. In particular, in budding yeast the genetic network mapped by Synthetic Genetic Array was revealed as both a powerful tool to identify functional modules in the cell and a tremendous resource ready for more exploration. This image shows a view of this genetic interaction network visualized with BioLayoutExpress3D. Patterns in the genetic network can help understand the organization of biological processes (see Michaut, et al. doi:10.1371/journal.pcbi.1001092).
Image Credit: Magali Michaut, University of Toronto