C-State: an interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search.
|Title||C-State: an interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search.|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Sowpati DTej, Srivastava S, Dhawan J, Mishra RK|
|Date Published||2017 Sep 13|
|Keywords||Algorithms, Embryonic Stem Cells, Epigenomics, Genes, Genomics, HeLa Cells, Humans, Internet, K562 Cells, Promoter Regions, Genetic, Software, Transcription, Genetic, Web Browser|
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.
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.
|Alternate Journal||BMC Bioinformatics|
|PubMed Central ID||PMC5606219|