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Caleydo: connecting pathways and gene expression

Summary: Understanding the relationships between pathways and the altered expression of their components in disease conditions can be addressed in a visual data analysis process. Caleydo uses novel visualization techniques to support life science experts in their analysis of gene expression data in...

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Detalles Bibliográficos
Autores principales: Streit, Marc, Lex, Alexander, Kalkusch, Michael, Zatloukal, Kurt, Schmalstieg, Dieter
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759551/
https://www.ncbi.nlm.nih.gov/pubmed/19620095
http://dx.doi.org/10.1093/bioinformatics/btp432
Descripción
Sumario:Summary: Understanding the relationships between pathways and the altered expression of their components in disease conditions can be addressed in a visual data analysis process. Caleydo uses novel visualization techniques to support life science experts in their analysis of gene expression data in the context of pathways and functions of individual genes. Pathways and gene expression visualizations are placed in a 3D scene where selected entities (i.e. genes) are visually connected. This allows Caleydo to seamlessly integrate interactive gene expression visualization with cross-database pathway exploration. Availability: The Caleydo visualization framework is freely available on www.caleydo.org for non-commercial use. It runs on Windows and Linux and requires a 3D capable graphics card. Contact: caleydo@icg.tugraz.at; streit@icg.tugraz.at Supplementary information: Supplementary data are available at Bioinformatics online.