Quickstart¶
The following is a quickstart guide to get you started with FICTURE.
Install FICTURE¶
The simplest way to FICTURE using PyPI. Please see installing FICTURE for other options.
Please make sure that bgzip
and tabix
is available in your system. Otherwise, please visit htslib website to install htslib.
Clone the repository¶
To access the example data, let's clone the FICTURE repository using the following command:
Run example datasets¶
Using example datasets, you can run FICTURE with the following command:
This command will create a GNU makefile and run the FICTURE local pipeline.
This will run FICTURE on the example datasets and save the results in the output1
directory.
Running FICTURE with multiple parameter settings¶
You can change the parameter settings, such as the width of training parameters, or the number of concurrent jobs to run.
More information¶
If you want to see more options with the local pipeline, please run the following command:
Note that the local pipeline is a wrapper for individual commands, and provided for convenience. For large datasets, you may need to run individual commands to mitigate memory or CPU constraints.
If you want to run FICTURE with individual commands rather than using the local pipeline, please refer to other sections in this documentation.