title: EvoluCode: Evolutionary Barcodes as a Unifying Framework for Multilevel Evolutionary Data.
abstract: Evolutionary systems biology aims to uncover the general trends and principles governing the evolution of biological networks. An essential part of this process is the reconstruction and analysis of the evolutionary histories of these complex, dynamic networks. Unfortunately, the methodologies for representing and exploiting such complex evolutionary histories in large scale studies are currently limited. Here, we propose a new formalism, called EvoluCode (Evolutionary barCode), which allows the integration of different evolutionary parameters (eg, sequence conservation, orthology, synteny …) in a unifying format and facilitates the multilevel analysis and visualization of complex evolutionary histories at the genome scale. The advantages of the approach are demonstrated by constructing barcodes representing the evolution of the complete human proteome. Two large-scale studies are then described: (i) the mapping and visualization of the barcodes on the human chromosomes and (ii) automatic clustering of the barcodes to highlight protein subsets sharing similar evolutionary histories and their functional analysis. The methodologies developed here open the way to the efficient application of other data mining and knowledge extraction techniques in evolutionary systems biology studies. A database containing all EvoluCode data is available at: http://lbgi.igbmc.fr/barcodes.
authors.affiliation: Laboratoire De Bioinformatique Et Génomique Intégratives, Institut de Génétique et de Biologie Moléculaire et Cellulaire CNRS/INSERM/UDS, Illkirch, France.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Linard
authors.forename: Ngoc Hoan
authors.initials: NH
authors.lastname: Nguyen
authors.forename: Francisco
authors.initials: F
authors.lastname: Prosdocimi
authors.forename: Olivier
authors.initials: O
authors.lastname: Poch
authors.forename: Julie D
authors.initials: JD
authors.lastname: Thompson