Computational biology for ageing.
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.
EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Daniela
D
Wieser
Irene
I
Papatheodorou
Matthias
M
Ziehm
Janet M
JM
Thornton
D000375:Aging / Q000235:genetics*; D000818:Animals; D019295:Computational Biology / Q000379:methods*; D006801:Humans