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Updated: Feb 22, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
C-State: an interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search
Divya Tej Sowpati1, Surabhi Srivastava2, Jyotsna Dhawan1
1CSIR- Centre for Cellular and Molecular Biology, Hyderabad, India.
Background:
Comparative epigenomic analysis across multiple genes presents a bottleneck for bench biologists working with NGS data. Despite the development of standardized peak analysis algorithms, the identification of novel epigenetic patterns and their visualization across gene subsets remains a challenge.
Results:
We developed a fast and interactive web app, C-State (Chromatin-State), to query and plot chromatin landscapes across multiple loci and cell types. C-State has an interactive, JavaScript-based graphical user interface and runs locally in modern web browsers that are pre-installed on all computers, thus eliminating the need for cumbersome data transfer, pre-processing and prior programming knowledge.
Conclusions:
C-State is unique in its ability to extract and analyze multi-gene epigenetic information. It allows for powerful GUI-based pattern searching and visualization. We include a case study to demonstrate its potential for identifying user-defined epigenetic trends in context of gene expression profiles.
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