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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
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author Streit, Marc
Lex, Alexander
Kalkusch, Michael
Zatloukal, Kurt
Schmalstieg, Dieter
author_facet Streit, Marc
Lex, Alexander
Kalkusch, Michael
Zatloukal, Kurt
Schmalstieg, Dieter
author_sort Streit, Marc
collection PubMed
description 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.
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spelling pubmed-27595512009-10-15 Caleydo: connecting pathways and gene expression Streit, Marc Lex, Alexander Kalkusch, Michael Zatloukal, Kurt Schmalstieg, Dieter Bioinformatics Applications Note 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. Oxford University Press 2009-10-15 2009-07-20 /pmc/articles/PMC2759551/ /pubmed/19620095 http://dx.doi.org/10.1093/bioinformatics/btp432 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Streit, Marc
Lex, Alexander
Kalkusch, Michael
Zatloukal, Kurt
Schmalstieg, Dieter
Caleydo: connecting pathways and gene expression
title Caleydo: connecting pathways and gene expression
title_full Caleydo: connecting pathways and gene expression
title_fullStr Caleydo: connecting pathways and gene expression
title_full_unstemmed Caleydo: connecting pathways and gene expression
title_short Caleydo: connecting pathways and gene expression
title_sort caleydo: connecting pathways and gene expression
topic Applications Note
url 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
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