RT Journal Article
SR Electronic
T1 EvoKEN: evolutionary knowledge extraction in networks
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 098285
DO 10.1101/098285
A1 Benjamin Linard
A1 Ngoc Hoan Nguyen
A1 Odile Lecompte
A1 Olivier Poch
A1 Julie D. Thompson
YR 2017
UL http://biorxiv.org/content/early/2017/01/06/098285.abstract
AB We introduce a multi-factorial, multi-level approach to build and explore evolutionary scenarios of complex protein networks. EvoKEN combines a unique formalism for integrating multiple types of data associated with network molecular components and knowledge extraction techniques for detecting cohesive/anomalous evolutionary processes. We analyzed known human pathway maps and identified perturbations or specializations at the local topology level that reveal important evolutionary and functional aspects of these cellular systems.