TY  -  
T1  - SuperDCA for genome-wide epistasis analysis 
SN  -  /  
UR  - http://hdl.handle.net/10138/237525 
T3  -  
A1  - Puranen, Santeri; Pesonen, Maiju; Pensar, Johan; Xu, Ying Ying; Lees, John A.; Bentley, Stephen D.; Croucher, Nicholas J.; Corander, Jukka 
A2  -  
PB  -  
Y1  - 2018 
LA  - eng 
AB  - The potential for genome-wide modelling of epistasis has recently surfaced given the possibility of sequencing densely sampled populations and the emerging families of statistical interaction models. Direct coupling analysis (DCA) has previously been shown to yield valuable predictions for single protein structures, and has recently been extended to genome-wide analysis of bacteria, identifying novel interactions in the co-evolution between resistance, virulence and core genome elements. However... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - population genomics; epistasis; linkage disequilibrium; DIRECT-COUPLING ANALYSIS; PROTEIN-STRUCTURE; STRUCTURE PREDICTION; MUTUAL INFORMATION; RESIDUE CONTACTS; SEQUENCE; IDENTIFICATION; MUTATIONS; EVOLUTION; 1184 Genetics, developmental biology, physiology; 1183 Plant biology, microbiology, virology 
N1  -   
PP  -  
ER  -