Ziehm Matthias, Ivanov Dobril K, Bhat Aditi, Partridge Linda, Thornton Janet M
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK, Department of Genetics, Evolution and Environment, The Institute of Healthy Ageing, University College London, London WC1E 6BT, UK and.
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Bioinformatics. 2015 Dec 1;31(23):3878-80. doi: 10.1093/bioinformatics/btv463. Epub 2015 Aug 6.
Understanding the biology of ageing is an important and complex challenge. Survival experiments are one of the primary approaches for measuring changes in ageing. Here, we present a major update to SurvCurv, a database and online resource for survival data in animals. As well as a substantial increase in data and additions to existing graphical and statistical survival analysis features, SurvCurv now includes extended mathematical mortality modelling functions and survival density plots for more advanced representation of groups of survival cohorts.
The database is freely available at https://www.ebi.ac.uk/thornton-srv/databases/SurvCurv/. All data are published under the Creative Commons Attribution License.
Supplementary data are available at Bioinformatics online.
了解衰老生物学是一项重要且复杂的挑战。生存实验是测量衰老变化的主要方法之一。在此,我们展示了SurvCurv的重大更新,它是一个动物生存数据的数据库和在线资源。除了数据大幅增加以及现有图形和统计生存分析功能的补充外,SurvCurv现在还包括扩展的数学死亡率建模函数和生存密度图,以便更高级地呈现生存队列组。
该数据库可在https://www.ebi.ac.uk/thornton-srv/databases/SurvCurv/免费获取。所有数据均根据知识共享署名许可协议发布。
补充数据可在《生物信息学》在线获取。