Article
A more efficient search strategy for aging genes based on connectivity.
Bioinformatics (Oxford, England) - 1 Feb 2005
Ferrarini Luca, Bertelli Luca, Feala Jacob, McCulloch Andrew D, Paternostro Giovanni
Abstract excerpt
MOTIVATION: Many aging genes have been found from unbiased screens in model organisms. Genetic interventions promoting longevity are usually quantitative, while in many other biological fields (e.g. development) null mutations alone have been very informative. Therefore, in the case of aging the task is larger and the need for a more efficient genetic search strategy is especially strong. RESULTS: The topology of...
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