GeneMining: identification, visualization, and interpretation of brain ageing signatures.
Transcriptomic technologies are promising tools for identifying new genes involved in cerebral ageing or in neurodegenerative diseases such as Alzheimer's disease. These technologies produce massive biological data, which so far are extremely difficult to exploit. In this context, we propose GeneMining, a multidisciplinary methodology, which aims at developing new strategies to analyse such data, and to design interactive tools to help biologists to identify, visualize and interpret brain ageing signatures. In order to address the specific problem of brain ageing signatures discovery, we combine and apply existing tools with emphasis to a new efficient data mining method based on sequential patterns.
Salle
Paola
P
Montpellier Laboratory of Informatics, Robotics, and Microelectronics, Montpellier 2 University, National Center for Scientific Research, 34392 Montpellier, France. paola.salle@lirmm.fr
Bringay
Sandra
S
Teisseire
Maguelonne
M
Chakkour
Feirouz
F
Roche
Mathieu
M
Rassoul
Ronza Abdel
RA
Verdier
Jean-Michel
JM
Devau
Gina
G
D000375:Aging / Q000235:genetics*; D001483:Base Sequence; D001921:Brain / Q000502:physiology*; D019295:Computational Biology; D020869:Gene Expression Profiling; D023281:Genomics; D006801:Humans