KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]

Summary: Signaling pathways provide essential information on complex regulatory processes within the cell. They are moreover widely used to interpret and integrate data from large-scale studies, such as expression or functional screens. We present KEGGViewer a BioJS component to visualize KEGG pathw...

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Main Authors: Jose M. Villaveces, Rafael C. Jimenez, Bianca H. Habermann
Format: Article
Language:English
Published: F1000 Research Ltd 2014-02-01
Series:F1000Research
Subjects:
Online Access:http://f1000research.com/articles/3-43/v1
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spelling doaj-f8dbf2f2126f4851b7c2e72f7a1b03342020-11-25T02:49:33ZengF1000 Research LtdF1000Research2046-14022014-02-01310.12688/f1000research.3-43.v13698KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]Jose M. Villaveces0Rafael C. Jimenez1Bianca H. Habermann2Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, GermanyEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UKMax Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, GermanySummary: Signaling pathways provide essential information on complex regulatory processes within the cell. They are moreover widely used to interpret and integrate data from large-scale studies, such as expression or functional screens. We present KEGGViewer a BioJS component to visualize KEGG pathways and to allow their visual integration with functional data. Availability: KEGGViewer is an open-source tool freely available at the BioJS Registry. Instructions on how to use the tool are available at http://goo.gl/dVeWpg and the source code can be found at http://github.com/biojs/biojs and DOI:10.5281/zenodo.7708.http://f1000research.com/articles/3-43/v1Bioinformatics
collection DOAJ
language English
format Article
sources DOAJ
author Jose M. Villaveces
Rafael C. Jimenez
Bianca H. Habermann
spellingShingle Jose M. Villaveces
Rafael C. Jimenez
Bianca H. Habermann
KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]
F1000Research
Bioinformatics
author_facet Jose M. Villaveces
Rafael C. Jimenez
Bianca H. Habermann
author_sort Jose M. Villaveces
title KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]
title_short KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]
title_full KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]
title_fullStr KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]
title_full_unstemmed KEGGViewer, a BioJS component to visualize KEGG Pathways [v1; ref status: indexed, http://f1000r.es/2uq]
title_sort keggviewer, a biojs component to visualize kegg pathways [v1; ref status: indexed, http://f1000r.es/2uq]
publisher F1000 Research Ltd
series F1000Research
issn 2046-1402
publishDate 2014-02-01
description Summary: Signaling pathways provide essential information on complex regulatory processes within the cell. They are moreover widely used to interpret and integrate data from large-scale studies, such as expression or functional screens. We present KEGGViewer a BioJS component to visualize KEGG pathways and to allow their visual integration with functional data. Availability: KEGGViewer is an open-source tool freely available at the BioJS Registry. Instructions on how to use the tool are available at http://goo.gl/dVeWpg and the source code can be found at http://github.com/biojs/biojs and DOI:10.5281/zenodo.7708.
topic Bioinformatics
url http://f1000research.com/articles/3-43/v1
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