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An Interactive Cluster Heat Map to Visualize and Explore Multidimensional Metabolomic Data.


ABSTRACT: Heat maps are a commonly used visualization tool for metabolomic data where the relative abundance of ions detected in each sample is represented with color intensity. A limitation of applying heat maps to global metabolomic data, however, is the large number of ions that have to be displayed and the lack of information provided about important metabolomic parameters such as m/z and retention time. Here we address these challenges by introducing the interactive cluster heat map in the data-processing software XCMS Online. XCMS Online (xcmsonline.scripps.edu) is a cloud-based informatic platform designed to process, statistically evaluate, and visualize mass-spectrometry based metabolomic data. An interactive heat map is provided for all data processed by XCMS Online. The heat map is clickable, allowing users to zoom and explore specific metabolite metadata (EICs, Box-and-whisker plots, mass spectra) that are linked to the METLIN metabolite database. The utility of the XCMS interactive heat map is demonstrated on metabolomic data set generated from different anatomical regions of the mouse brain.

SUBMITTER: Benton PH 

PROVIDER: S-EPMC4505375 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

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An Interactive Cluster Heat Map to Visualize and Explore Multidimensional Metabolomic Data.

Benton Paul H PH   Ivanisevic Julijana J   Rinehart Duane D   Epstein Adrian A   Kurczy Michael E ME   Boska Michael D MD   Gendelman Howard E HE   Siuzdak Gary G  

Metabolomics : Official journal of the Metabolomic Society 20141212 4


Heat maps are a commonly used visualization tool for metabolomic data where the relative abundance of ions detected in each sample is represented with color intensity. A limitation of applying heat maps to global metabolomic data, however, is the large number of ions that have to be displayed and the lack of information provided about important metabolomic parameters such as m/z and retention time. Here we address these challenges by introducing the interactive cluster heat map in the data-proce  ...[more]

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