We are proud to release the latest work by Matjaz Galicic, aka Gen.26, which engages with the groundbreaking field of noise genetics:
“To understand gene function, genetic analysis uses large perturbations such as gene deletion, knockdown or over-expression. [...] Here, we offer a complementary approach, called noise genetics. [...] Using motility of human cancer cells as a model system, and time-lapse microscopy on 566 fluorescently tagged proteins, we found 74 candidate motility genes whose level or localization strongly correlate with motility in individual cells. [...] Noise genetics can complement standard genetics for a variety of phenotypes” (Farkash-Amar et al., 2014).
Released on green tape.