pairtools: a command-line framework to process sequencing data from a Hi-C experimen
Pairtools is a simple and fast command-line framework to process sequencing data from a Hi-C experiment. Pairtools perform various operations on Hi-C pairs and occupy the middle position in a typical Hi-C data processing pipeline. Pairtools aim to be an all-in-one tool for processing Hi-C pairs.
References:
- Fan Song, Jie Xu, Jesse Dixon and Feng Yue
Analysis of Hi-C Data for Discovery of Structural Variations in Cancer. Hi-C Data Analysis. Methods and Protocols (2022). pp 143-161
Documentation
Important Notes
- Module Name: Funannotate (see the modules page for more information)
- Unusual environment variables set
- PT_HOME installation directory
- PT_BIN executables directory
- PT_DATA sample data directory
- PT_TESTS test scripts directory
Interactive job
Interactive jobs should be used for debugging, graphics, or applications that cannot be run as batch jobs.
[user@biowulf]$ sinteractive --gres=lscratch:10 --mem=30g -c4 [user@cn0861 ~]$ module load pairtools [+] Loading singularity 3.8.5-1 on cn4207 [+] Loading pairtools 0.3.0
[user@biowulf]$ python $PT_TESTS/test_dedup.py [user@biowulf]$ python $PT_TESTS/test_filterbycov.py [user@biowulf]$ python $PT_TESTS/test_flip.py [user@biowulf]$ python $PT_TESTS/test_headerops.py [user@biowulf]$ python $PT_TESTS/test_markasdup.py [user@biowulf]$ python $PT_TESTS/test_merge.py [user@biowulf]$ python $PT_TESTS/test_parse.py [user@biowulf]$ python $PT_TESTS/test_select.py [user@biowulf]$ python $PT_TESTS/test_sort.py [user@biowulf]$ python $PT_TESTS/test_split.py [user@biowulf]$ python $PT_TESTS/test_stats.pyetc.
[user@cn0861 ~]$ exit salloc.exe: Relinquishing job allocation 46116226