C-State: an interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search

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 c...

Full description

Saved in:

Bibliographic Details
Published in:	BMC bioinformatics Vol. 18; no. Suppl 10; pp. 392 - 24
Main Authors:	Sowpati, Divya Tej, Srivastava, Surabhi, Dhawan, Jyotsna, Mishra, Rakesh K
Format:	Journal Article
Language:	English
Published:	London BioMed Central 13.09.2017 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Binding sites Bioinformatics Biomedical and Life Sciences Cell cycle Chromatin Chromatin state Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computers Data analysis Data processing Data transfer (computers) Datasets Embryonic Stem Cells - metabolism Epigenetic inheritance Epigenetic patterns Epigenetics Epigenomics Gene expression Genes Genetic engineering Genome browser Genomes Genomics Graphical user interface HeLa Cells Humans Identification and classification Integrated software Internet JavaScript K562 Cells Life Sciences Microarrays Mobile applications Pattern search Promoter Regions, Genetic - genetics Software Stem cells Transcription, Genetic Trends User interface Visualization Web app Web Browser Visualization Genome browser RNA-seq JavaScript Epigenetic patterns ChIP-seq Web app Chromatin state
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!