{
    "info": {
        "author": "Su Wang",
        "author_email": "wangsu0623@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Console",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development"
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        "description": "# HiNT \n## A computational method for detecting copy number variations and translocations from Hi-C data\n\n## Summary\n**HiNT** (**Hi**-C for copy **N**umber variation and **T**ranslocation detection), a computational method to detect CNVs and Translocations from Hi-C data. HiNT has three main components: **HiNT-PRE**, **HiNT-CNV**, and **HiNT-TL**. HiNT-PRE preprocesses Hi-C data and computes the contact matrix, which stores contact frequencies between any two genomic loci; both HiNT-CNV and HiNT-TL starts with HI-C contact matrix, predicts copy number segments, and inter-chromosomal translocations, respectively \n\n#### Overview of HiNT workflow: \n<img src=\"https://github.com/suwangbio/HiNT/blob/master/images/HiNT_workflow.png\" width=\"800\">\n\n## Installation\n\n### Dependencies\nR and R packages\n\n1. [R >= 3.4](https://www.r-project.org/)\n2. [mgcv](https://cran.r-project.org/web/packages/mgcv/index.html), [strucchange](https://cran.r-project.org/web/packages/strucchange/index.html), [doParallel](https://www.rdocumentation.org/packages/parallel/versions/3.4.1), [Cairo](https://cran.r-project.org/web/packages/Cairo/index.html), [foreach](https://cran.r-project.org/web/packages/optparse/index.html)\n\nPython and Python packages\n\n1. [python >= 3.5](https://www.python.org/)\n2. [pyparix >= 0.3.0](https://github.com/4dn-dcic/pairix#pypairix), [cooler >= 0.7.4](https://github.com/mirnylab/cooler), [pairtools >= 0.2.2](https://github.com/mirnylab/pairtools), [numpy](https://www.scipy.org/install.html), [scipy](https://www.scipy.org/install.html), [pandas](https://pandas.pydata.org/), [sklearn](https://scikit-learn.org/stable/install.html), [multiprocessing](https://pypi.org/project/multiprocess/)\n\nJava and related tools (Optional: required when want to process Hi-C data with juicer tools)\n\n1. [Java (version >= 1.7)](https://www.java.com/en/download/)\n2. [Juicer tools (1.8.9 is recommended)](https://github.com/aidenlab/juicer/wiki/Download) \n\nPerl\n\n1. [Perl (version >= 5)](https://www.perl.org/)\n\n\nOther dependencies\n\n1. [samtools](http://www.htslib.org/doc/) (1.3.1+)\n2. [BIC-seq2](http://www.math.pku.edu.cn/teachers/xirb/downloads/software/BICseq2/BICseq2/BICseq2-seg_v0.7.3.tar.gz) (0.7.3) ! This is optional: if you don't want to run HiNT-CNV, you don't need this package. [Download BICseq2, unzip it, and give the path of BICseq2-seg_v0.7.3 (/path/to/BICseq2-seg_v0.7.3)].\n3. [bwa](https://sourceforge.net/projects/bio-bwa/files/) (0.7.16+) ! This is optional: required only when your input is fastq\n4. [tabix](https://sourceforge.net/projects/samtools/files/tabix/) (0.2.6)\n\n### Install HiNT\n\n* Method1: Install using conda (highly recommended)\n\n\t``` $ conda install -c su hint```\n\n\tor\n\n\t``` $ conda install hint```\n\n* Method2: Install from PyPI using pip.\n\n\t``` $ pip install HiNT-Packages```\n\n* Method3: Install manually \n  1. Install HiNT dependencies\n  2. Download HiNT ```git clone https://github.com/parklab/HiNT.git```\n  3. Go to HiNT directory, install it by ```$ python setup.py install ```\n\n  *** Type ```$ hint``` to test if HiNT successfully installed\n\n* Method 4: Run HiNT in a Docker container (highly recommended)\n\n\t``` $ docker pull suwangbio/hint```\n\n\t``` $ docker run suwangbio/hint hint```\n\n\tSee details of the usage on HiNT page at [docker hub](https://hub.docker.com/r/suwangbio/hint) \n\n### Download reference files used in HiNT [HERE](https://www.dropbox.com/sh/2ufsyu4wvrboxxp/AABk5-_Fwy7jdM_t0vIsgYf4a?dl=0)\n\n1. Download HiNT references [HERE](https://www.dropbox.com/sh/qas48d7409t2syz/AACk5G2ngZ0vylLXsLFZXif_a?dl=0). Only hg19, hg38 and mm10 are available currently. Unzip it ```$ unzip hg19.zip ```\n2. Download HiNT background matrices [HERE](https://www.dropbox.com/sh/fyxx9u5g5vn57ez/AAAx-DtByKaU6HvTYyEUvCzRa?dl=0). Only hg19, hg38 and mm10 are available currently. Unzip it ```$ unzip hg19.zip ```\n3. Download BWA index files [HERE](https://www.dropbox.com/sh/l004df4108s6d3c/AAB6qtS95mBK_MdDZYlo2V-pa?dl=0). Only hg19, hg38 and mm10 are available currently. Unzip it ```$ unzip hg19.zip ```\n\n## Quick Start\n\n* Download the test datasets from [HERE](https://www.dropbox.com/sh/z1rceh8ddnsdtj7/AAC0VuDu48eh_RtzKHipztkLa?dl=0)\n\n### HiNT-PRE\nHiNT pre: Preprocessing Hi-C data. HiNT pre does alignment, contact matrix creation and normalization in one command line.\n\n```$ hint pre -d /path/to/hic_1.fastq.gz,/path/to/hic_2.fastq.gz -i /path/to/bwaIndex/hg19/hg19.fa --refdir /path/to/refData/hg19 --informat fastq --outformat cooler -g hg19 -n test -o /path/to/outputdir --pairtoolspath /path/to/pairtools --samtoolspath /path/to/samtools --coolerpath /path/to/cooler```\n\n```$ hint pre -d /path/to/test.bam --refdir /path/to/refData/hg19 --informat bam --outformat juicer -g hg19 -n test -o /path/to/outputdir --pairtoolspath /path/to/pairtools --samtoolspath /path/to/samtools --juicerpath /path/to/juicer_tools.1.8.9_jcuda.0.8.jar```\n\nuse ```$ which samtools ``` ```$ which pairtools ``` ```$ which cooler ``` to get the absolute path of these tools, and ```/path/to/juicer_tools.1.8.9_jcuda.0.8.jar``` should be the path where you store this file\n\nsee details and more options\n\n```$ hint pre -h ```\n\n### HiNT-CNV\nHiNT cnv: prediction of copy number information, as well as segmentation from Hi-C.\n\n```$ hint cnv -m contactMatrix.cool -f cooler --refdir /path/to/refDir/hg19 -r 50 -g hg19 -n test -o /path/to/outputDir --bicseq /path/to/BICseq2-seg_v0.7.3 -e MboI```\n\n```$ hint cnv -m /path/to/4DNFIS6HAUPP.mcool::/resolutions/50000 -f cooler --refdir /path/to/refDir/hg38 -r 50 -g hg38 -n HepG2 --bicseq /path/to/BICseq2-seg_v0.7.3 -e DpnII```\n\n```$ hint cnv -m /path/to/4DNFICSTCJQZ.hic -f juicer --refdir /path/to/refDir/hg38 -r 50 -g hg38 -n HepG2 --bicseq /path/to/BICseq2-seg_v0.7.3 -e DpnII```\n\n```$ hint cnv -m /path/to/4DNFICSTCJQZ.hic -f juicer --refdir /path/to/refDir/hg38 -r 50 -g hg38 -n HepG2 --bicseq /path/to/BICseq2-seg_v0.7.3 -e DpnII --doiter```\n\n```/path/to/BICseq2-seg_v0.7.3``` should be the path where you store this package\n\nsee details and more options\n\n```$ hint cnv -h ```\n\n### HiNT-TL\nHiNT tl: interchromosomal translocations and breakpoints detection from\nHi-C inter-chromosomal interaction matrices.\n\n```$ hint tl -m /path/to/data_1Mb.cool,/path/to/data_100kb.cool --chimeric /path/to/test_chimeric.sorted.pairsam.gz --refdir /path/to/refDir/hg19 --backdir /path/to/backgroundMatrices/hg19 --ppath /path/to/pairix -f cooler -g hg19 -n test -o /path/to/outputDir```\n\n```$ hint tl -m /path/to/4DNFIS6HAUPP.mcool::/resolutions/1000000,/path/to/4DNFIS6HAUPP.mcool::/resolutions/100000 -f cooler --refdir /path/to/refDir/hg38 --backdir /path/to/backgroundMatrices/hg38 -g hg38 -n 4DNFICSTCJQZ -c 0.05 --ppath /path/to/pairix -p 12```\n\n```$ hint tl -m /path/to/4DNFICSTCJQZ.hic -f juicer --refdir /path/to/refData/hg38 --backdir /path/to/backgroundMatrices/hg38 -g hg38 -n 4DNFICSTCJQZ -c 0.05 --ppath /path/to/pairix -p 12 -o HiNTtransl_juicerOUTPUT```\n\nuse ```$ which pairix ``` to get the absolute path of pairix\n\nsee details and more options\n\n```$ hint tl -h ```\n\n## Output of HiNT\n### HiNT-PRE output\nIn the HiNT-PRE output directory, you will find\n\n1. ```jobname.bam``` aligned lossless file in bam format\n2. ```jobname_merged_valid.pairs.gz``` reads pairs in pair format\n3. ```jobname_chimeric.sorted.pairsam.gz``` ambiguous chimeric read pairs used for breakpoint detection in [pairsam](https://github.com/mirnylab/pairtools) format\n4. ```jobname_valid.sorted.deduped.pairsam.gz``` valid read pairs used for Hi-C contact matrix creation in [pairsam](https://github.com/mirnylab/pairtools) format\n5. ```jobname.mcool``` Hi-C contact matrix in [cool](https://github.com/mirnylab/cooler) format\n6. ```jobname.hic``` Hi-C contact matrix in [hic](https://github.com/aidenlab/juicer) format\n\n### HiNT-CNV output\nIn the HiNT-CNV output directory, you will find\n\n1. ```jobname_GAMPoisson.pdf``` the GAM regression result\n2. ```segmentation/jobname_bicsq_allchroms.txt``` CNV segments with log2 copy ratio and p-values in txt file\n3. ```segmentation/jobname_resolution_CNV_segments.png``` figure to visualize CNV segments\n4. ```segmentation/jobname_bicseq_allchroms.l2r.pdf``` figure to visualize log2 copy ration in each bin (bin size = resolution you set)\n5. ```segmentation/other_files``` intermediate files used to run BIC-seq\n6. ```jonname_dataForRegression/*``` data used for regression as well as residuals after removing Hi-C biases\n\n### HiNT-TL output\nIn the HiNT-TL output directory, you will find\n\n1. ```jobname_Translocation_IntegratedBP.txt``` the final integrated translocation breakpoint\n2. ```jobname_chrompairs_rankProduct.txt``` rank product predicted potential translocated chromosome pairs\n3. ```otherFolders``` intermediate files used to identify the translocation breakpoints\n\n\n",
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