Chapter title |
Proteomic Clustering Analysis of SH2 Domain Datasets
|
---|---|
Chapter number | 7 |
Book title |
SH2 Domains
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6762-9_7 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6760-5, 978-1-4939-6762-9
|
Authors |
Karl Jablonowski |
Editors |
Kazuya Machida, Bernard A. Liu |
Abstract |
Proteomic clustering analysis provides a means of identifying relationships and visualizing those relationships in an extremely complex field of study with many interacting parts. With recent high-throughput studies of Src Homology 2 (SH2) domains, many and varied datasets are being amassed. A strategy for analyzing patterns between these large datasets is required to transform the information into knowledge. The methods for creating neighbor-joining phylogenetic trees, pairs scatter plots, and two-dimensional hierarchical clustering heatmaps are just a few of the diverse methods available to a proteomic researcher. This chapter examines selecting objects to be analyzed, selecting comparison functions to apply to those objects, and pseudo-code for processing data and preparing it for various types of analyses. Here I apply clustering analysis to previous collections of SH2 domains datasets to bring insight into new binding or specificity patterns between the different SH2 domains. |
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