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The Royal Society, Philosophical Transactions of the Royal Society B: Biological Sciences, 1561(366), p. 51-63, 2011

DOI: 10.1098/rstb.2010.0286

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Computational biology for ageing

Journal article published in 2011 by Daniela Wieser, Irene Papatheodorou, Matthias Ziehm ORCID, Janet M. Thornton
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

High-throughput genomic and proteomic technologies have generated a wealth of publicly available data on ageing. Easy access to these data, and their computational analysis, is of great importance in order to pinpoint the causes and effects of ageing. Here, we provide a description of the existing databases and computational tools on ageing that are available for researchers. We also describe the computational approaches to data interpretation in the field of ageing including gene expression, comparative and pathway analyses, and highlight the challenges for future developments. We review recent biological insights gained from applying bioinformatics methods to analyse and interpret ageing data in different organisms, tissues and conditions.