Literature DB >> 22950424

Systems biology and bioinformatics in aging research: a workshop report.

Georg Fuellen1, Jörn Dengjel, Andreas Hoeflich, Jan Hoeijemakers, Hans A Kestler, Axel Kowald, Steffen Priebe, Dietrich Rebholz-Schuhmann, Bernd Schmeck, Ulf Schmitz, Alexandra Stolzing, Jürgen Sühnel, Daniel Wuttke, Julio Vera.   

Abstract

In an "aging society," health span extension is most important. As in 2010, talks in this series of meetings in Rostock-Warnemünde demonstrated that aging is an apparently very complex process, where computational work is most useful for gaining insights and to find interventions that counter aging and prevent or counteract aging-related diseases. The specific topics of this year's meeting entitled, "RoSyBA: Rostock Symposium on Systems Biology and Bioinformatics in Ageing Research," were primarily related to "Cancer and Aging" and also had a focus on work funded by the German Federal Ministry of Education and Research (BMBF). The next meeting in the series, scheduled for September 20-21, 2013, will focus on the use of ontologies for computational research into aging, stem cells, and cancer. Promoting knowledge formalization is also at the core of the set of proposed action items concluding this report.

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Year:  2012        PMID: 22950424     DOI: 10.1089/rej.2012.1360

Source DB:  PubMed          Journal:  Rejuvenation Res        ISSN: 1549-1684            Impact factor:   4.663


  2 in total

1.  In silico approaches and the role of ontologies in aging research.

Authors:  Georg Fuellen; Melanie Boerries; Hauke Busch; Aubrey de Grey; Udo Hahn; Thomas Hiller; Andreas Hoeflich; Ludger Jansen; Georges E Janssens; Christoph Kaleta; Anne C Meinema; Sascha Schäuble; Andreas Simm; Paul N Schofield; Barry Smith; Juergen Sühnel; Julio Vera; Wolfgang Wagner; Eva C Wönne; Daniel Wuttke
Journal:  Rejuvenation Res       Date:  2013-12       Impact factor: 4.663

Review 2.  Recent Advances in the Systems Biology of Aging.

Authors:  Mark A McCormick; Daniel E L Promislow
Journal:  Antioxid Redox Signal       Date:  2017-11-20       Impact factor: 8.401

  2 in total

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