https://github.com/soedinglab/snptarget

A statistical approach to predict enhancer-gene interactions
https://github.com/soedinglab/snptarget

Last synced: 8 months ago
JSON representation

A statistical approach to predict enhancer-gene interactions

• Host: GitHub
• URL: https://github.com/soedinglab/snptarget
• Owner: soedinglab
• License: gpl-3.0
• Created: 2017-01-13T22:24:20.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-01-17T14:40:15.000Z (over 9 years ago)
• Last Synced: 2025-10-13T04:07:17.476Z (8 months ago)
• Language: Python
• Homepage:
• Size: 79.1 KB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# SNPtarget (currently under construction)

SNPtarget is a pipeline for predicting enhancer-gene interactions based on

statistical signatures of DNase-I hypersensitivity across more than 100 tissues,

genomic distance and HiC interaction frequency.

## Repository structure

The folder *enh_scripts* contains a python package of the statistical model and

utility scripts.

The *pipelines* directory contains two pipelines for running on an LSF cluster.

* SNPpipeline (prediction of target genes of 1000 Genomes SNPs)

* FullGenomePipeline (prediction of 100bp segmentation of the full human genome)