Computational paradigms for analyzing genetic interaction networks

2015 ◽  
pp. 12-35
Author(s):  
Carles Pons ◽  
Michael Costanzo ◽  
Charles Boone ◽  
Chad L. Myers
2008 ◽  
Vol 105 (43) ◽  
pp. 16653-16658 ◽  
Author(s):  
S. J. Dixon ◽  
Y. Fedyshyn ◽  
J. L. Y. Koh ◽  
T. S. K. Prasad ◽  
C. Chahwan ◽  
...  

2012 ◽  
Vol 5 (1) ◽  
Author(s):  
Johannes Tuikkala ◽  
Heidi Vähämaa ◽  
Pekka Salmela ◽  
Olli S Nevalainen ◽  
Tero Aittokallio

mSphere ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Rebecca S. Shapiro

ABSTRACTRebecca S. Shapiro studies antimicrobial resistance and genetic interaction networks. In this mSphere of Influence article, she reflects on how the papers “Bacterial evolution of antibiotic hypersensitivity” by Lázár et al. (V. Lázár, G. Pal Singh, R. Spohn, I. Nagy, et al., Mol Syst Biol 9:700, 2013,https://doi.org/10.1038/msb.2013.57) and “Use of collateral sensitivity networks to design drug cycling protocols that avoid resistance development” by L. Imamovic and M. O. A. Sommer (Sci Transl Med 5:204ra132, 2013,https://doi.org/10.1126/scitranslmed.3006609) impacted her thinking about multigene interaction effects on drug resistance.


PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e55671 ◽  
Author(s):  
David Talavera ◽  
Ritika Sheoran ◽  
Simon C. Lovell

2011 ◽  
Vol 18 (11) ◽  
pp. 1379-1389 ◽  
Author(s):  
Sang Ho Lee ◽  
Lisa Wang Jarantow ◽  
Hao Wang ◽  
Susan Sillaots ◽  
Henry Cheng ◽  
...  

2019 ◽  
Vol 14 (3) ◽  
pp. 955-975 ◽  
Author(s):  
Viola Halder ◽  
Caroline B. M. Porter ◽  
Alejandro Chavez ◽  
Rebecca S. Shapiro

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