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Abstract

Multiple studies characterizing the human ageing phenotype have been conducted for decades. However, there is no centralized resource in which data on multiple age-related changes are collated. Currently, researchers must consult several sources, including primary publications, in order to obtain age-related data at various levels. To address this and facilitate integrative, system-level studies of ageing we developed the Digital Ageing Atlas (DAA). The DAA is a one-stop collection of human age-related data covering different biological levels (molecular, cellular, physiological, psychological and pathological) that is freely available online (http://ageing-map.org/). Each of the >3000 age-related changes is associated with a specific tissue and has its own page displaying a variety of information, including at least one reference. Age-related changes can also be linked to each other in hierarchical trees to represent different types of relationships. In addition, we developed an intuitive and user-friendly interface that allows searching, browsing and retrieving information in an integrated and interactive fashion. Overall, the DAA offers a new approach to systemizing ageing resources, providing a manually-curated and readily accessible source of age-related changes.

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T., C., C., S., R., T., D., W., S.H., W., H., S., … J.P., de M. (2015). The Digital Ageing Atlas: integrating the diversity of age-related changes into a unified resource. Nucleic Acids Research, 43(Database issue), D873–D878. https://doi.org/10.1093/nar/gku843 LK  - http://elinks.library.upenn.edu/sfx_local?sid=EMBASE&issn=13624962&id=doi:10.1093%2Fnar%2Fgku843&atitle=The+Digital+Ageing+Atlas%3A+integrating+the+diversity+of+age-related+changes+into+a+unified+resource&stitle=Nucleic+Acids+Res.&title=Nucleic+acids+research&volume=43&issue=Database+issue&spage=D873&epage=D878&aulast=Craig&aufirst=Thomas&auinit=T.&aufull=Craig+T.&coden=&isbn=&pages=D873-D878&date=2015&auinit1=T&auinitm=

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