© 2018 Phanstiel Lab

Advanced options

(Defaults to maximum available probes)


Constructing Probes...

They are going to be great...



Introducing Lure

A probe design tool for fishing Hi-C data

Lure is a fast, user-friendly web application for designing oligonucleotide probes for hybrid capture Hi-C (Hi-C2). Developed by the Aiden Lab , Hi-C2 allows scientists to enrich Hi-C data in a small, continuous genomic region (Sanborn et al. 2015). Lure is tailored specifically to Hi-C2, designing the optimal probes for Hi-C library enrichment.

Quick Start

Designing probes with Lure is fast, easy, and doesn't require downloads or dependencies. To get started:

  1. Select a genome (ex: Human: hg38)
  2. Enter your target region (ex: chr3:133,000,000-133,100,000)
  3. Choose your Restriction Enzyme (ex: ^GATC,MobI)
  4. Design Probes!

How to Cite

Lure was developed in the Phanstiel Lab at UNC by Eric Davis, Erika Deoudes, Craig Wenger, and Doug Phanstiel.

If you use this webapp to design your probes, please cite:

Davis ES, Deoudes EM, Thulson EA, Kramer N, Wenger C and Phanstiel DH. Lure: A Probe Design Tool for Hybrid-Capture Hi-C. In Progress. 2019.

Advanced options

Lure offers advanced options for adjusting the number of desired probes and adding predefined or custom index sequences to the start and end of each probe sequence. This allows for pooling of probes to reduce cost.

How it Works


The Lure web application is a Shiny R implementation of the Lure command line tool, which is written primarily using BASH and R. It utilizes several command line tools to identify and fragment the region of interest (ROI) by restriction site (HiCUP - Hi-C User Pipeline), extract genomic fragments (Bedtools), and assess potential probes in parallel (GNU Parallel). The diagram below outlines LURE's workflow:


Criteria for selecting probes were modeled after Sanborn et al. (2015) where they outline their Hi-C2 method. Briefly, potential probes were identified upstream and downstream of each restriction site. All potential probes were scored for repetitive bases, GC content, and distance from restriction site. Each probe was assigned a "Pass Number" (0-3) for overall quality according to the scheme below:

Selection criteria relax as pass number increases, making the highest quality probes (passing the most restrictive criteria) pass 0 and lowest quality probes (passing the least strict criteria) pass 3.


By default all suitable probes are shown for every restriction site. However, users may wish to reduce the number of probes ordered to reduce cost or achieve a specific probe density. The web application allows users to specify the maximum number of probes desired before designing probes, or adjust them with a slider after designing probes. Probes are removed (pruned) from the pool by quality score to ensure that those remaining are the highest quality available. If all remaining probes are of the highest quality, they are randomly removed to preserve even coverage. For reproduciblilty, a seed is set in the program so that the same settings will always return the same probes.


Probe validation is in progress, check back later for updates!


This section is under development, check back later for updates!

Download Lure

Available as a command-line interface or Shiny web application

Lure is available as both a command-line interface, and as a Shiny web application. The easiest way to use Lure is through this website. For programmatic access and piping through other command line tools, use Lure command line. For further webapp development, fork the github repo in the links shown below.

Lure Command Line

Lure Web Application

Contact Us

Phanstiel Lab, The University of North Carolina at Chapel Hill

Lure was developed in the Phanstiel Lab at UNC Chapel Hill. Code was developed by Eric Davis, Erika Deoudes, and Craig Wenger. For questions, or suggestions for Lure, please open an issue on the github repositories. Other questions can be directed to Eric Davis or Doug Phanstiel at esdavis@live.unc.edu and douglas_phanstiel@med.unc.edu respectively.