Next-Generation Clustered Heat Maps (NG-CHMs) can be embedded in an HTML page as either full-size maps or expandable icons.

Version 2.20.0 of the Next-Generation Clustered Heat Map (NG-CHM) viewer is now available. Significant new features in recent versions are listed below:

Version 4.0.1 of the NG-CHM RStudio containers are now available.

Version 2.3

This release includes a re-engineered system for processing parameters specified in the Galaxy build tool that is a lot more flexible than the previous method. Consequently, we have extended the Advanced NG-CHM Generator tool to include several new capabilities in the NG-CHM that were not possible previously.

Next-Generation Clustered Heat Maps (NG-CHMs) can now be embedded in an HTML page.

In this article, we will use the Pathways Tool to investigate the pathways related to gene-expression patterns in a Next-Generation Clustered Heat Map (NG-CHM). Specifically, we will explore our TCGA THYM rnaSEQ gene by sample map. The samples in this map have been grouped into four clusters based on hierarchical gene-expression clustering, as shown in the top covariate bar.

Updated: August 7, 2018 and August 27, 2018. This article illustrates how to create a Next-Generation Clustered Heat Map (NG-CHM) using our web-based interactive builder. The web-based interactive builder is suitable for building small to moderate sized single maps (at most a few thousand elements on any axis). If you want to build larger maps, or build a suite of maps programmatically, our Galaxy- or R-based environments are more suitable.

Link-outs in NG-CHMs are determined by assigning types to the row and column labels in a heat map. Plugins installed in the heat map viewer provide link-outs to appropriate resources for matching types.

A database describing in detail the available label types is under development.

As an interim measure this page lists the label types recognized by the standard NG-CHM plugins.

In this article, we will create a Next-Generation Clustered Heat Map (NG-CHM) of the 200 most variable microRNAs in the TCGA prostate cancer data available from the ISB Cancer Genomics Cloud (ISB-CGC).

Interactive, highly-responsive “Next-Generation” Clustered Heat Maps (NG-CHMs) are ideal for exploring heat maps of big data. NG-CHMs enable the user to zoom and navigate dynamically and link out to dozens of external data resources and tools. NG-CHMs exploit recent advances in web technology to improve performance, provide a highly-responsive user experience, and facilitate deep exploration of the biology (or other science) behind the image.