The Digital Ageing Atlas: integrating the diversity of age-related changes into a unified resource.
The Digital Ageing Atlas: integrating the diversity of age-related changes into a unified resource.
复制标题
DOI:
10.1093/nar/gku843
复制
发表时间:
2015-01
影响因子:
14.9
通讯作者:
de Magalhães JP
中科院分区:
文献类型:
--
作者:
Craig T;Smelick C;Tacutu R;Wuttke D;Wood SH;Stanley H;Janssens G;Savitskaya E;Moskalev A;Arking R;de Magalhães JP
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.
登录
查看更多内容
影响因子:
14.9
作者:
Sunkin SM;Ng L;Lau C;Dolbeare T;Gilbert TL;Thompson CL;Hawrylycz M;Dang C
通讯作者:
Dang C
DOI:
10.1098/rstb.2010.0275
发表时间:
2011-01-12
影响因子:
6.3
作者:
Kirkwood, Thomas B. L.
通讯作者:
Kirkwood, Thomas B. L.
影响因子:
4.6
作者:
Welle, S;Brooks, AI;Thornton, CA
通讯作者:
Thornton, CA
影响因子:
14.9
作者:
Gremse M;Chang A;Schomburg I;Grote A;Scheer M;Ebeling C;Schomburg D
通讯作者:
Schomburg D
影响因子:
5.8
作者:
Tao, Y;Friedman, C;Lussier, YA
通讯作者:
Lussier, YA