Quick Start
Get ORILINX running in 5 minutes.
Installation
Install from PyPI:
pip install orilinx
orilinx fetch_models
Or install from source:
git clone https://github.com/Pfuderer/ORILINX.git
cd ORILINX
pip install -e .
orilinx fetch_models
ORILINX includes a pre-trained model. The fetch_models command downloads the required weights (~900 MB).
Get a genome
Download the human genome (hg38) from UCSC:
wget http://hgdownload.soe.ucsc.edu/goldenPath/hg38/bigZips/hg38.fa.gz
gunzip hg38.fa.gz
Make a prediction
Predict replication origins on a 4 Mb region of chromosome 8:
orilinx --fasta_path hg38.fa --output_dir orilinx_results --sequence_names chr8:1000000-5000000
The results appear in a new orilinx_results/ folder as chr8.bedGraph.
That’s it! The file contains shows the probability that each 2000 bp window in this region is a replication origin.
What next?
Want more options? See Installation and Usage for all available flags
Need more examples? Check Examples for multi-region analysis, batch processing, and more
Troubleshooting? See Troubleshooting for common issues
Understanding output? See Output Format for bedGraph and CSV format details
Visualisation guide? See Visualisation and Analysis for advanced plotting techniques