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Coloc-stats: a unified web interface to perform colocalization analysis of genomic features
- Source :
- Nucleic Acids Research
- Publication Year :
- 2018
- Publisher :
- Oxford University Press (OUP), 2018.
-
Abstract
- Functional genomics assays produce sets of genomic regions as one of their main outputs. To biologically interpret such region-sets, researchers often use colocalization analysis, where the statistical significance of colocalization (overlap, spatial proximity) between two or more region-sets is tested. Existing colocalization analysis tools vary in the statistical methodology and analysis approaches, thus potentially providing different conclusions for the same research question. As the findings of colocalization analysis are often the basis for follow-up experiments, it is helpful to use several tools in parallel and to compare the results. We developed the Coloc-stats web service to facilitate such analyses. Coloc-stats provides a unified interface to perform colocalization analysis across various analytical methods and method-specific options (e.g. colocalization measures, resolution, null models). Coloc-stats helps the user to find a method that supports their experimental requirements and allows for a straightforward comparison across methods. Coloc-stats is implemented as a web server with a graphical user interface that assists users with configuring their colocalization analyses. Coloc-stats is freely available at https://hyperbrowser.uio.no/coloc-stats/.
- Subjects :
- 0301 basic medicine
Chromatin Immunoprecipitation
Web server
Biology
computer.software_genre
User-Computer Interface
03 medical and health sciences
Software
Genetics
GATA1 Transcription Factor
Graphical user interface
Internet
business.industry
Colocalization
Genomics
Sequence Analysis, DNA
030104 developmental biology
Null (SQL)
Web Server Issue
The Internet
Data mining
Web service
User interface
business
computer
Subjects
Details
- ISSN :
- 13624962 and 03051048
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....5db0441b83ba5cb596a1d536d8b059e3