/Hierarchical3DGenome

A hierarchical algorithm for building high-resolution 3D genome structures


High Resolution and Hierachical Chromosome Modelling


Bioinformatics, Data Mining, Machine Learning (BDM) Laboratory,

University of Missouri, Columbia MO 65211


Developer:

             Tuan Trieu
             Department of Computer Science
             University of Missouri, Columbia
             Email: tuantrieu@mail.missouri.edu

Contact:

             Jianlin Cheng, PhD
             Department of Computer Science
             University of Missouri, Columbia
             Email: chengji@missouri.edu

1. Content of folders:

  • src: source code in java
  • input: sample input data
  • output: all HierarchicalModeller experimental output data
  • executable: Download latest .jar executable from here : https://github.com/BDM-Lab/Hierarchical3DGenome/releases
  • miniMDS: output results and scripts generated for this method

2. Usage

To run the tool, type: java -jar HierarchicalModeller.jar chr_id resolution observed_contact_data normalized_contact_data domain_file output_folder

Example: java -jar HierarchicalModeller.jar 10 5000 input/chr10_5kb.RAWobserved input/chr10_5kb_gm12878_list.txt input/GSE63525_GM12878_primary+replicate_Arrowhead_domainlist_whole.txt output

  • Parameters:

  • Typically, the input is several GBs in size and therefore, the program requires a lot of RAM memory to run. We ran our experiment in a server with 120 GB RAM and 80 cores.

4. Disclaimer

The executable software and the source code of is distributed free of charge as it is to any non-commercial users. The authors hold no liabilities to the performance of the program.