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A novel method for large tree visualization
Summary: Many genomic and proteomic analyses generate as a result a tree of genes or proteins. These trees are often large (containing tens of thousands of nodes and edges), and need a visualization tool to fully display all the information contained in the tree. Clustering analysis can be performed...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2642634/ https://www.ncbi.nlm.nih.gov/pubmed/19129207 http://dx.doi.org/10.1093/bioinformatics/btn656 |
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author | Heard, Jeff Kaufmann, William Guan, Xiaojun |
author_facet | Heard, Jeff Kaufmann, William Guan, Xiaojun |
author_sort | Heard, Jeff |
collection | PubMed |
description | Summary: Many genomic and proteomic analyses generate as a result a tree of genes or proteins. These trees are often large (containing tens of thousands of nodes and edges), and need a visualization tool to fully display all the information contained in the tree. Clustering analysis can be performed on these trees to obtain clusters of proteins, and we need an efficient way to visualize the clustering results. We present a novel tree visualization tool to help with such analyses. Availability: http://www2.renci.org/~jeff/software/bin/win32/ProteinVis-2.1.6-win32.zip Contact: jeff@renci.org; xguan@renci.org |
format | Text |
id | pubmed-2642634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26426342009-02-25 A novel method for large tree visualization Heard, Jeff Kaufmann, William Guan, Xiaojun Bioinformatics Applications Note Summary: Many genomic and proteomic analyses generate as a result a tree of genes or proteins. These trees are often large (containing tens of thousands of nodes and edges), and need a visualization tool to fully display all the information contained in the tree. Clustering analysis can be performed on these trees to obtain clusters of proteins, and we need an efficient way to visualize the clustering results. We present a novel tree visualization tool to help with such analyses. Availability: http://www2.renci.org/~jeff/software/bin/win32/ProteinVis-2.1.6-win32.zip Contact: jeff@renci.org; xguan@renci.org Oxford University Press 2009-02-15 2009-01-07 /pmc/articles/PMC2642634/ /pubmed/19129207 http://dx.doi.org/10.1093/bioinformatics/btn656 Text en © 2009 The Author(s) 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/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Heard, Jeff Kaufmann, William Guan, Xiaojun A novel method for large tree visualization |
title | A novel method for large tree visualization |
title_full | A novel method for large tree visualization |
title_fullStr | A novel method for large tree visualization |
title_full_unstemmed | A novel method for large tree visualization |
title_short | A novel method for large tree visualization |
title_sort | novel method for large tree visualization |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2642634/ https://www.ncbi.nlm.nih.gov/pubmed/19129207 http://dx.doi.org/10.1093/bioinformatics/btn656 |
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