A tutorial in displaying mass spectrometry-based proteomic data using heat maps.

ABSTRACT: Data visualization plays a critical role in interpreting experimental results of proteomic experiments. Heat maps are particularly useful for this task, as they allow us to find quantitative patterns across proteins and biological samples simultaneously. The quality of a heat map can be vastly improved by understanding the options available to display and organize the data in the heat map. This tutorial illustrates how to optimize heat maps for proteomics data by incorporating known characteristics of the data into the image. First, the concepts used to guide the creating of heat maps are demonstrated. Then, these concepts are applied to two types of analysis: visualizing spectral features across biological samples, and presenting the results of tests of statistical significance. For all e

SUBMITTER: Key M 

PROVIDER: S-EPMC3489527 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature