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[MODIF] doc update
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config-hicpro.txt

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@@ -14,7 +14,7 @@ RAW_DIR = rawdata
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## SYSTEM AND SCHEDULER - Start Editing Here !!
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#######################################################################
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N_CPU = 2
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SORT_RAM = 768M
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SORT_RAM = 1000M
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LOGFILE = hicpro.log
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JOB_NAME =

doc/MANUAL.md

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@@ -45,14 +45,15 @@ In order to process the raw data, HiC-Pro requires three annotation files. Note
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Copy and edit the configuration file *'config-hicpro.txt'* in your local folder. The '[]' options are optional and can be undefined.
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| SYSTEM | |
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|----------------|----------------------------------------|
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| N_CPU | Number of CPU allows per job |
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| LOGFILE | Name of the main log file |
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| [JOB_NAME ] | Name of the job on the custer |
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| [JOB_MEM] | Memory (RAM) required per job |
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| [JOB_WALLTIME] | WallTime allows per job |
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| [JOB_MAIL] | User mail for PBS/Torque report |
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| SYSTEM | |
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|----------------|----------------------------------------------------------------------------------------------------------------------|
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| N_CPU | Number of CPU allows per job |
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| SORT_RAM | The memory for samtools sort (in Mo). Note that this number will be divided by the N_CPU to have a memory per thread |
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| LOGFILE | Name of the main log file |
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| [JOB_NAME ] | Name of the job on the custer |
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| [JOB_MEM] | Memory (RAM) required per job |
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| [JOB_WALLTIME] | WallTime allows per job |
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| [JOB_MAIL] | User mail for PBS/Torque report |
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----------------
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doc/UTILS.md

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### make_viewpoints.py OR 'How can I generate a BED profile from a given viewpoints ?'
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The make_viewpoints.py script was initially designed in the context of capture-C data.
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For a given anchor (i.e. capture site), it allows to generate a track file with all interacting fragments.
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For a list of anchors (i.e. capture sites), it allows to generate track files with all interacting fragments.
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Regions around the capture are usually excluded from the profile ('-e' parameter)
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```
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## Generate a viewpoints from capture site
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HICPRO_PATH/bin/utils/make_viewpoints -i hicpro_res/hic_results/data/dixon_2M/dixon_2M_allValidPairs -f HICPRO_PATH/data_info/HindIII_resfrag_hg19.bed -t mycapture.bed -e 1000 -v > capture.bedgraph
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HICPRO_PATH/bin/utils/make_viewpoints -i hicpro_res/hic_results/data/dixon_2M/dixon_2M_allValidPairs -f HICPRO_PATH/data_info/HindIII_resfrag_hg19.bed -t mycapture.bed -e 1000 -o OUTPUT_DIR/output_ -v
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```
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### hicpro2juicebox.sh OR 'How can I load my HiC-Pro data into Juicebox visualization software ?'
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```
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## Convert HiC-Pro output to Juicebox input
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HICPRO_PATH/bin/utils/hicpro2juicebox.sh -i hicpro_res/hic_results/data/dixon_2M/dixon_2M_allValidPairs -g chrom_hg19.sizes -j /usr/local/juicebox/juicebox_clt_1.4.jar
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HICPRO_PATH/bin/utils/hicpro2juicebox.sh -i hicpro_res/hic_results/data/dixon_2M/dixon_2M_allValidPairs -g chrom_hg19.sizes -j /usr/local/juicer/juicer_tools.1.7.5_linux_x64_jcuda.0.8.jar
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## Convert HiC-Pro output to Juicebox input up to restriction fragment resolution
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HICPRO_PATH/bin/utils/hicpro2juicebox.sh -i hicpro_res/hic_results/data/dixon_2M/dixon_2M_allValidPairs -g chrom_hg19.sizes -j /usr/local/juicebox/juicebox_clt_1.4.jar -f HICPRO_PATH/data_info/HindIII_resfrag_hg19.bed
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HICPRO_PATH/bin/utils/hicpro2juicebox.sh -i hicpro_res/hic_results/data/dixon_2M/dixon_2M_allValidPairs -g chrom_hg19.sizes -j /usr/local/juicer/juicer_tools.1.7.5_linux_x64_jcuda.0.8.jar -f HICPRO_PATH/data_info/HindIII_resfrag_hg19.bed
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```
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### sparseToDense.py OR 'How can I convert HiC-Pro output into dense format ?'
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HICPRO_PATH/bin/utils/hicpro2higlass.sh -i hic_results/data/dixon_2M/dixon_2M_allValidPairs -r 40000 -c chrom_hg19.sizes -n
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```
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Note that you should use the `--float` option for iced normalized data.
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### split_sparse.py OR 'How can I split my HiC-Pro sparse format ?'
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This utility allows to split a genome-wide contact maps generated by HiC-Pro into per-chromosome interaction maps.

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