| BMC Bioinformatics | |
| C-State: an interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search | |
| Research | |
| Jyotsna Dhawan1  Surabhi Srivastava1  Rakesh K Mishra1  Divya Tej Sowpati1  | |
| [1] CSIR- Centre for Cellular and Molecular Biology, Hyderabad, India; | |
| 关键词: Epigenetic patterns; Chromatin state; Visualization; JavaScript; Genome browser; Web app; ChIP-seq; RNA-seq; | |
| DOI : 10.1186/s12859-017-1786-6 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundComparative 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.ResultsWe 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.ConclusionsC-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.
【 授权许可】
CC BY
© The Author(s). 2017
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202311106752965ZK.pdf | 1714KB |
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