Format

Send to

Choose Destination
PLoS Comput Biol. 2016 Jun 23;12(6):e1004809. doi: 10.1371/journal.pcbi.1004809. eCollection 2016 Jun.

QuIN: A Web Server for Querying and Visualizing Chromatin Interaction Networks.

Author information

1
Department of Computer Science, University of Connecticut, Storrs, Connecticut, United States of America.
2
The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America.
3
Institute of Systems Genomics, University of Connecticut Health Center, Farmington, Connecticut, United States of America.
4
Center for Quantitative Medicine, Department of Cell Biology, University of Connecticut Health Center, Farmington, Connecticut, United States of America.

Abstract

Recent studies of the human genome have indicated that regulatory elements (e.g. promoters and enhancers) at distal genomic locations can interact with each other via chromatin folding and affect gene expression levels. Genomic technologies for mapping interactions between DNA regions, e.g., ChIA-PET and HiC, can generate genome-wide maps of interactions between regulatory elements. These interaction datasets are important resources to infer distal gene targets of non-coding regulatory elements and to facilitate prioritization of critical loci for important cellular functions. With the increasing diversity and complexity of genomic information and public ontologies, making sense of these datasets demands integrative and easy-to-use software tools. Moreover, network representation of chromatin interaction maps enables effective data visualization, integration, and mining. Currently, there is no software that can take full advantage of network theory approaches for the analysis of chromatin interaction datasets. To fill this gap, we developed a web-based application, QuIN, which enables: 1) building and visualizing chromatin interaction networks, 2) annotating networks with user-provided private and publicly available functional genomics and interaction datasets, 3) querying network components based on gene name or chromosome location, and 4) utilizing network based measures to identify and prioritize critical regulatory targets and their direct and indirect interactions.

AVAILABILITY:

QuIN's web server is available at http://quin.jax.org QuIN is developed in Java and JavaScript, utilizing an Apache Tomcat web server and MySQL database and the source code is available under the GPLV3 license available on GitHub: https://github.com/UcarLab/QuIN/.

PMID:
27336171
PMCID:
PMC4919057
DOI:
10.1371/journal.pcbi.1004809
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Public Library of Science Icon for PubMed Central
Loading ...
Support Center