title: How bioinformatics can help reverse engineer human aging.
abstract: To study human aging is an enormous challenge. The complexity of the aging phenotype and the near impossibility of studying aging directly in humans oblige researchers to resort to models and extrapolations. Computational approaches offer a powerful set of tools to study human aging. In one direction we have data-mining methods, from comparative genomics to DNA microarrays, to retrieve information in large amounts of data. Afterwards, tools from systems biology to reverse engineering algorithms allow researchers to integrate different types of information to increase our knowledge about human aging. Computer methodologies will play a crucial role to reconstruct the genetic network of human aging and the associated regulatory mechanisms.
authors.affiliation: Unit of Cellular Biochemistry and Biology (URBC), Department of Biology, University of Namur (FUNDP), Rue de Bruxelles 61, B-5000 Namur, Belgium. jpnitya@senescence.info
authors.forename: João Pedro
authors.initials: JP
authors.lastname: de Magalhães
authors.forename: Olivier
authors.initials: O
authors.lastname: Toussaint
mesh_terms: D000375:Aging / Q000235:genetics* / Q000502:physiology; D000818:Animals; D019295:Computational Biology / Q000379:methods* / Q000639:trends; D005818:Genetic Engineering / Q000379:methods* / Q000639:trends; D006801:Humans