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HemI: A Toolkit for Illustrating Heatmaps
Recent high-throughput techniques have generated a flood of biological data in all aspects. The transformation and visualization of multi-dimensional and numerical gene or protein expression data in a single heatmap can provide a concise but comprehensive presentation of molecular dynamics under dif...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221433/ https://www.ncbi.nlm.nih.gov/pubmed/25372567 http://dx.doi.org/10.1371/journal.pone.0111988 |
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author | Deng, Wankun Wang, Yongbo Liu, Zexian Cheng, Han Xue, Yu |
author_facet | Deng, Wankun Wang, Yongbo Liu, Zexian Cheng, Han Xue, Yu |
author_sort | Deng, Wankun |
collection | PubMed |
description | Recent high-throughput techniques have generated a flood of biological data in all aspects. The transformation and visualization of multi-dimensional and numerical gene or protein expression data in a single heatmap can provide a concise but comprehensive presentation of molecular dynamics under different conditions. In this work, we developed an easy-to-use tool named HemI (Heat map Illustrator), which can visualize either gene or protein expression data in heatmaps. Additionally, the heatmaps can be recolored, rescaled or rotated in a customized manner. In addition, HemI provides multiple clustering strategies for analyzing the data. Publication-quality figures can be exported directly. We propose that HemI can be a useful toolkit for conveniently visualizing and manipulating heatmaps. The stand-alone packages of HemI were implemented in Java and can be accessed at http://hemi.biocuckoo.org/down.php. |
format | Online Article Text |
id | pubmed-4221433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42214332014-11-12 HemI: A Toolkit for Illustrating Heatmaps Deng, Wankun Wang, Yongbo Liu, Zexian Cheng, Han Xue, Yu PLoS One Research Article Recent high-throughput techniques have generated a flood of biological data in all aspects. The transformation and visualization of multi-dimensional and numerical gene or protein expression data in a single heatmap can provide a concise but comprehensive presentation of molecular dynamics under different conditions. In this work, we developed an easy-to-use tool named HemI (Heat map Illustrator), which can visualize either gene or protein expression data in heatmaps. Additionally, the heatmaps can be recolored, rescaled or rotated in a customized manner. In addition, HemI provides multiple clustering strategies for analyzing the data. Publication-quality figures can be exported directly. We propose that HemI can be a useful toolkit for conveniently visualizing and manipulating heatmaps. The stand-alone packages of HemI were implemented in Java and can be accessed at http://hemi.biocuckoo.org/down.php. Public Library of Science 2014-11-05 /pmc/articles/PMC4221433/ /pubmed/25372567 http://dx.doi.org/10.1371/journal.pone.0111988 Text en © 2014 Deng et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Deng, Wankun Wang, Yongbo Liu, Zexian Cheng, Han Xue, Yu HemI: A Toolkit for Illustrating Heatmaps |
title | HemI: A Toolkit for Illustrating Heatmaps |
title_full | HemI: A Toolkit for Illustrating Heatmaps |
title_fullStr | HemI: A Toolkit for Illustrating Heatmaps |
title_full_unstemmed | HemI: A Toolkit for Illustrating Heatmaps |
title_short | HemI: A Toolkit for Illustrating Heatmaps |
title_sort | hemi: a toolkit for illustrating heatmaps |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221433/ https://www.ncbi.nlm.nih.gov/pubmed/25372567 http://dx.doi.org/10.1371/journal.pone.0111988 |
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