@@ -52,12 +52,12 @@ Finally, note that multiple restriction enzymes can also be provided (space sepa
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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 ?'
@@ -68,10 +68,10 @@ This utility requires HiC-Pro version 2.7.6 or later, and the installation of [J
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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 ?'
@@ -112,6 +112,8 @@ See https://github.com/mirnylab/cooler for .cool Hi-C data format. The path to c
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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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