BMC BioinformaticsBioinformaticsPeer-reviewed journal article
C-State: An interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search
Divya Tej SowpatiiD, Surabhi SrivastavaiD, Jyotsna DhawaniD, Rakesh K. MishraiD
Abstract
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.\n\nResultsWe 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.\n\nConclusionsC-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.
- assay: ChIP-seq
- research focus: database / resource
- research focus: software / tool
- research focus: benchmarking
- approach: experimental assay
- Citations
- 1
- FWCI
- 0.11
- Field percentile
- 45th percentile
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