BackofenLab/CRISPRleader

Name: CRISPRleader

Owner: Bioinformatics Lab - Department of Computer Science - University Freiburg

Description: CRISPRleader takes a complete genome or draft genome as input and selects all possible CRISPR arrays in the correct orientation, and annotates the CRISPR leader boundaries.

Created: 2017-10-07 12:59:28.0

Updated: 2017-10-08 10:36:51.0

Pushed: 2017-10-15 13:16:26.0

Homepage: http://www.bioinf.uni-freiburg.de/Software/CRISPRleader/

Size: 17500

Language: Perl

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README

CRISPRleader - An efficient tool to determining CRISPR leader boundaries

CRISPRleader version 1.0.3

CRISPRleader takes a complete genome or draft genome as input and selects all possible CRISPR arrays in the correct orientation, and annotates the CRISPR leader boundaries.

Please run test_bin.py script before executing the main program. It will check if executable files can be run and change the path in the mview file to the correct one.

To execute the program, please open your terminal console. Make sure “CRISPRleader.py” file and “bin”,“lib” and “Dataset” folder exists in your current working directory.

Requirements

Dependencies The following dependencies should be present in the respective folders for the successful execution of the program:

The program execution can be carried out with three input categories as given below:

CRISPRleader.py f_c_o “file” “completeness” “organism”

Path to the file, completeness and the organism type should be provided Input completeness: “COMPLETE” or “PARTIAL” respectivelly Organism type 'a' for archea and 'b' for bacteria

Example: python CRISPRleader.py f_c_o NC017453.fa partial a

In all the above executions, the user should provide the organism type. -o provides an option to choose Archea “a” or Bacteria “b”

The ouput files are saved in a folder with name “Output” in the current working directory

Contribution

Feel free to contribute to this project by writing Issues with feature requests, bug reports, or just contact messages.

Citation

If you use CRISPRleader, please cite our article


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.