@article {1210, title = {C-State: an interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search.}, journal = {BMC Bioinformatics}, volume = {18}, year = {2017}, month = {2017 Sep 13}, pages = {392}, abstract = {

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.

}, keywords = {Algorithms, Embryonic Stem Cells, Epigenomics, Genes, Genomics, HeLa Cells, Humans, Internet, K562 Cells, Promoter Regions, Genetic, Software, Transcription, Genetic, Web Browser}, issn = {1471-2105}, doi = {10.1186/s12859-017-1786-6}, author = {Sowpati, Divya Tej and Srivastava, Surabhi and Dhawan, Jyotsna and Mishra, Rakesh K} }