author_facet Streit, Marc
Gratzl, Samuel
Stitz, Holger
Wernitznig, Andreas
Zichner, Thomas
Haslinger, Christian
Streit, Marc
Gratzl, Samuel
Stitz, Holger
Wernitznig, Andreas
Zichner, Thomas
Haslinger, Christian
author Streit, Marc
Gratzl, Samuel
Stitz, Holger
Wernitznig, Andreas
Zichner, Thomas
Haslinger, Christian
spellingShingle Streit, Marc
Gratzl, Samuel
Stitz, Holger
Wernitznig, Andreas
Zichner, Thomas
Haslinger, Christian
Bioinformatics
Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
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Computer Science Applications
Molecular Biology
Biochemistry
Statistics and Probability
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spelling Streit, Marc Gratzl, Samuel Stitz, Holger Wernitznig, Andreas Zichner, Thomas Haslinger, Christian 1367-4803 1367-4811 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/btz009 <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Summary</jats:title> <jats:p>Ordino is a web-based analysis tool for cancer genomics that allows users to flexibly rank, filter and explore genes, cell lines and tissue samples based on pre-loaded data, including The Cancer Genome Atlas, the Cancer Cell Line Encyclopedia and manually uploaded information. Interactive tabular data visualization that facilitates the user-driven prioritization process forms a core component of Ordino. Detail views of selected items complement the exploration. Findings can be stored, shared and reproduced via the integrated session management.</jats:p> </jats:sec> <jats:sec> <jats:title>Availability and implementation</jats:title> <jats:p>Ordino is publicly available at https://ordino.caleydoapp.org. The source code is released at https://github.com/Caleydo/ordino under the Mozilla Public License 2.0.</jats:p> </jats:sec> <jats:sec> <jats:title>Supplementary information</jats:title> <jats:p>Supplementary data are available at Bioinformatics online.</jats:p> </jats:sec> Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples Bioinformatics
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title Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_unstemmed Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_full Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_fullStr Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_full_unstemmed Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_short Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_sort ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
topic Computational Mathematics
Computational Theory and Mathematics
Computer Science Applications
Molecular Biology
Biochemistry
Statistics and Probability
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author Streit, Marc, Gratzl, Samuel, Stitz, Holger, Wernitznig, Andreas, Zichner, Thomas, Haslinger, Christian
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spelling Streit, Marc Gratzl, Samuel Stitz, Holger Wernitznig, Andreas Zichner, Thomas Haslinger, Christian 1367-4803 1367-4811 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/btz009 <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Summary</jats:title> <jats:p>Ordino is a web-based analysis tool for cancer genomics that allows users to flexibly rank, filter and explore genes, cell lines and tissue samples based on pre-loaded data, including The Cancer Genome Atlas, the Cancer Cell Line Encyclopedia and manually uploaded information. Interactive tabular data visualization that facilitates the user-driven prioritization process forms a core component of Ordino. Detail views of selected items complement the exploration. Findings can be stored, shared and reproduced via the integrated session management.</jats:p> </jats:sec> <jats:sec> <jats:title>Availability and implementation</jats:title> <jats:p>Ordino is publicly available at https://ordino.caleydoapp.org. The source code is released at https://github.com/Caleydo/ordino under the Mozilla Public License 2.0.</jats:p> </jats:sec> <jats:sec> <jats:title>Supplementary information</jats:title> <jats:p>Supplementary data are available at Bioinformatics online.</jats:p> </jats:sec> Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples Bioinformatics
spellingShingle Streit, Marc, Gratzl, Samuel, Stitz, Holger, Wernitznig, Andreas, Zichner, Thomas, Haslinger, Christian, Bioinformatics, Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples, Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability
title Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_full Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_fullStr Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_full_unstemmed Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_short Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_sort ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
title_unstemmed Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples
topic Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability
url http://dx.doi.org/10.1093/bioinformatics/btz009