Running mode: Basic mode: partly based on tool-specific defaults Advanced mode: unified selection of specific parameters
Below is a unified interface to multiple previously published methods for statistical co-localization analysis. All the methods can be used to analyze a query track against either a single reference track or a reference track collection . Supported inputs are single datasets or collections of datasets. It can be run in a basic mode with default settings or in an advanced mode that allows further customization.
If you have not uploaded data already, you can Upload data or Import sample data
Reference genome: Human (hg19) Human (hg38) Mouse (mm9) Mouse (mm10) Human chromosome 20 (hg19_chr20) [for testing] Custom reference genome
Type of co-localization analysis: Relation between two genomic tracks Query track against collection of reference tracks
Choose a query track: --- Select ---
Choose a reference track: --- Select ---
Restrict to specific analysis regions? (optional) No, use only methods that can use the whole genome as analysis regions Yes, use only methods that can take an explicit set of analysis regions as input Yes, provide an explicit set of analysis regions to tools that can take it as input (using whole genome for others)
Runtime mode : quick medium accurate