3D Network exploration and visualisation for lifespan data.

ABSTRACT:

Background

The Ageing Factor Database AgeFactDB contains a large number of lifespan observations for ageing-related factors like genes, chemical compounds, and other factors such as dietary restriction in different organisms. These data provide quantitative information on the effect of ageing factors from genetic interventions or manipulations of lifespan. Analysis strategies beyond common static database queries are highly desirable for the inspection of complex relationships between AgeFactDB data sets. 3D visualisation can be extremely valuable for advanced data exploration.

Results

Different types of networks and visualisation strategies are proposed, ranging from basic networks of individual ageing factors for a single species to complex multi-species networks. The augm

SUBMITTER: Huhne R 

PROVIDER: S-EPMC6199797 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature