Grant Number:	3U24CA199461-01S1 Interpret this number
Primary Investigator:	Weinstein, John
Organization:	University Of Tx Md Anderson Can Ctr
Project Title:	Next-Generation Clustered Heat Maps for Fluent, Interactive Exploration of Omic Data: Cloud Pilot Supplement
Fiscal Year:	2016

 DESCRIPTION (provided by applicant): Clustered Heat Maps (CHMs) have been called the ubiquitous visual icons of post-genomic biology, having appeared in many thousands of publications. We introduced CHMs in the early 1990s for visualization and analysis of patterns of similarity and difference in molecular profile data at the DNA, RNA, protein, metabolite, and pharmacological levels. However, those CHMs were static images. What we wanted was an interactive CHM-based environment for deep exploration of patterns in omic data - CHMs in which one could zoom and navigate as in a Google map, link out to a variety of external information sources, re-color on the fly, invoke a statistical toolbox, save all metadata necessary to reproduce the map months or years later, and produce high- resolution graphics that meet the standards of all major journals. Accordingly, we have developed interactive "Next-Generation" Clustered Heat Maps (NG-CHMs) with those and many other capabilities. The NG-CHMs have (i) received extensive user feedback; (ii) been used for studies in multiple preclinical and clinical departments at MD Anderson Cancer Center; (iii) been provided publicly in three public web portals associated with The Cancer Genome Atlas (TCGA) -- with, in aggregate, >1,000 maps; (iv) served as the principal analytic and interpretive tools for proteomic data in TCGA; and (v) been employed in almost all of TCGA's Disease Working Groups. However, they have not yet permeated the cancer research community. We now propose to mature and harden the NG-CHM development, introducing additional toolbox features, increasing user-friendliness, increasing "share ability," and refining the environment to fit the needs and workflows of cancer biologists and clinical researchers who are not specialists in informatics. The end product will be a suite of interactive visualization resources that can easily be shared among members of a research team, distributed to colleagues, and/or serve as interactive graphics linked to the static print versions in journal pages. Extensive written documentation and tutorial videos are currently provided; hands-on workshops will be held at multiple meetings and institutions.





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