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Updated: Aug 18, 2025

Quantitative Analysis of Chromatin Proteomes in Disease
Published on: December 28, 2012
StripeDiff: Model-based algorithm for differential analysis of chromatin stripe
Krishan Gupta1,2, Guangyu Wang1,2,3, Shuo Zhang3
1Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.
Abstract:
Multiple recent studies revealed stripes as an architectural feature of three-dimensional chromatin and found stripes connected to epigenetic regulation of transcription. Whereas a couple of tools are available to define stripes in a single sample, there is yet no reported method to quantitatively measure the dynamic change of each stripe between samples. Here, we developed StripeDiff, a bioinformatics tool that delivers a set of statistical methods to detect differential stripes between samples. StripeDiff showed optimal performance in both simulation data analysis and real Hi-C data analysis. Applying StripeDiff to 12 sets of Hi-C data revealed new insights into the connection between change of chromatin stripe and change of chromatin modification, transcriptional regulation, and cell differentiation. StripeDiff will be a robust tool for the community to facilitate understanding of stripes and their function in numerous biological models.
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