bioRxivEvolutionary BiologyPreprint
EvoKEN: evolutionary knowledge extraction in networks
Benjamin Linard, Ngoc Hoan Nguyen, Odile Lecompte, Olivier Poch, Julie D. Thompson
Abstract
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.
- organism: human
- assay: protein structure
- research focus: chromatin & epigenetic regulation
- approach: statistical model
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