{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hicberg tutorial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook aims to provide a simple tutorial on how to use the Hicberg package to analyze Hi-C data.\n",
    "\n",
    "The package is designed to be user-friendly and easy to use, and it provides a wide range of tools for the analysis of Hi-C data. \n",
    "\n",
    "The tutorial will cover all steps of the analysis, from data loading to visualization of results."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "source": [
    "## Importing libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import from standard libraries\n",
    "import time\n",
    "import glob, sys\n",
    "from glob import glob\n",
    "from shutil import which, rmtree\n",
    "from os.path import join\n",
    "from pathlib import Path\n",
    "import subprocess as sp\n",
    "\n",
    "## Mutlitprocessing puroposes\n",
    "import multiprocessing\n",
    "from multiprocessing import Process\n",
    "from functools import partial\n",
    "\n",
    "import numpy as np\n",
    "import cooler\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "\n",
    "## Import from hicberg\n",
    "import hicberg.align as hal\n",
    "import hicberg.io as hio\n",
    "import hicberg.utils as hut\n",
    "import hicberg.plot as hpl\n",
    "import hicberg.statistics as hst\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Paths and parameters setting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parameters are set to perform standard analysis of Hi-C data.\n",
    "\n",
    "No blacklisted regions are used in this tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "UNRESCUED_MATRIX = \"unrescued_map.cool\"\n",
    "RESTRICTION_MAP = \"restriction_map.npy\"\n",
    "\n",
    "# Directories\n",
    "output_directory = \"./tmp\"\n",
    "analysis_name = \"my_library\"\n",
    "\n",
    "# Data\n",
    "# genome = \"data/V_cholerae_O1.fa\"\n",
    "# forward_reads = \"data/SRR10394900_CC340_V.cholera_HiC_using_HpaII_-_biological_replicate_1_1.fastq.gz\"\n",
    "# reverse_reads = \"data/SRR10394900_CC340_V.cholera_HiC_using_HpaII_-_biological_replicate_1_1.fastq.gz\"\n",
    "\n",
    "genome = \"data/SC288_with_micron.fa\"\n",
    "forward_reads = \"/home/sardine/Bureau/tutorial/data/AC1.end1.fastq.gz\"\n",
    "reverse_reads = \"/home/sardine/Bureau/tutorial/data/AC1.end2.fastq.gz\"\n",
    "\n",
    "# Experiment dependant parameters\n",
    "restriction_enzyme = [\"DpnII\", \"HinfI\"]\n",
    "circular = [\"\"]\n",
    "rate = 1.0\n",
    "resolution = 2000\n",
    "mode = \"standard\"\n",
    "blacklist = None \n",
    "\n",
    "cpus = 16\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 0: Creating analyses directories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 08:45:39 :: INFO :: Creating folder my_library in ./tmp\n",
      "2024-10-17 -- 08:45:39 :: INFO :: Folder my_library in tmp/my_library created.\n"
     ]
    }
   ],
   "source": [
    "output_folder = hio.create_folder(sample_name = analysis_name, output_dir = output_directory)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 1: Get chromosomes size and align reads"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This step aims to define the size of the chromosomes (and relative binning), and align the reads to the reference genome.\n",
    "\n",
    "Reads are going to be aligned in \"very sensitive\" mode for a better accuracy.\n",
    "\n",
    "Mapping quality is set to 30 (default) and all reads are going to be kept (max_alignment = -1).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 08:45:39 :: INFO :: Start getting chromosome sizes\n",
      "2024-10-17 -- 08:45:39 :: INFO :: Chromosome sizes have been saved in tmp/my_library/chromosome_sizes.npy\n",
      "2024-10-17 -- 08:45:39 :: INFO :: Start getting bin table\n"
     ]
    }
   ],
   "source": [
    "hut.get_chromosomes_sizes(genome = genome, output_dir = output_folder)\n",
    "hut.get_bin_table(bins = resolution, output_dir = output_folder)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 08:45:39 :: INFO :: Start building index for alignment\n",
      "2024-10-17 -- 08:45:45 :: INFO :: Index built at tmp/my_library/SC288_with_micron\n",
      "2024-10-17 -- 08:45:45 :: INFO :: Start aligning reads\n",
      "2024-10-17 -- 08:52:58 :: INFO :: 47310032 reads; of these:\n",
      "  47310032 (100.00%) were unpaired; of these:\n",
      "    2845860 (6.02%) aligned 0 times\n",
      "    39601500 (83.71%) aligned exactly 1 time\n",
      "    4862672 (10.28%) aligned >1 times\n",
      "93.98% overall alignment rate\n",
      "\n",
      "2024-10-17 -- 08:52:58 :: INFO :: 47310032 reads; of these:\n",
      "  47310032 (100.00%) were unpaired; of these:\n",
      "    2293189 (4.85%) aligned 0 times\n",
      "    40099611 (84.76%) aligned exactly 1 time\n",
      "    4917232 (10.39%) aligned >1 times\n",
      "95.15% overall alignment rate\n",
      "\n",
      "2024-10-17 -- 08:52:58 :: INFO :: Alignment saved at tmp/my_library\n",
      "2024-10-17 -- 08:52:58 :: INFO :: Start converting .sam to .bam\n",
      "2024-10-17 -- 08:53:45 :: INFO :: Compressed  alignment done at tmp/my_library\n",
      "2024-10-17 -- 08:53:45 :: INFO :: Start sorting .bam alignment files\n",
      "[bam_sort_core] merging from 1 files and 16 in-memory blocks...\n",
      "[bam_sort_core] merging from 1 files and 16 in-memory blocks...\n",
      "2024-10-17 -- 08:56:17 :: INFO :: Sorted alignment done at tmp/my_library\n"
     ]
    }
   ],
   "source": [
    "# Index the genome\n",
    "index = \"SC288_with_micron\" \n",
    "\n",
    "hal.hic_build_index(genome = genome, output_dir = output_folder, cpus = cpus)\n",
    "\n",
    "# Align reads\n",
    "hal.hic_align(index = index, fq_for = forward_reads, fq_rev = reverse_reads, sensitivity = \"very-sensitive\", max_alignment = -1,\n",
    "            output_dir = output_folder, cpus = cpus)\n",
    "# Convert to .bam\n",
    "hal.hic_view(cpus = cpus, output_dir = output_folder)\n",
    "\n",
    "# Sort reads by name\n",
    "hal.hic_sort(cpus = cpus, output_dir = output_folder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 3: Classification of read pairs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All reads read pairs previously produced are going to be classified in the following categories:\n",
    "\n",
    "- Unmapped pairs : read pairs that are not aligned to the reference genome (at least one read is unmapped)\n",
    "- Unambiguous pairs : read pairs that are aligned to the reference genome and are uniquely mapped (both reads are uniquely mapped)\n",
    "- Ambiguous pairs : read pairs that are aligned to the reference genome and are not uniquely mapped (at least one read is not uniquely mapped) or too poorly mapped (mapping quality < 35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 09:14:57 :: INFO :: Files for the different groups have been saved in tmp/my_library\n",
      "2024-10-17 -- 09:14:57 :: INFO :: Number of unmapped reads in forward file : 7580990\n",
      "2024-10-17 -- 09:14:57 :: INFO :: Number of unmapped reads in reverse file : 8224108\n",
      "2024-10-17 -- 09:14:57 :: INFO :: Number of uniquely mapped reads in forward file : 35472762\n",
      "2024-10-17 -- 09:14:57 :: INFO :: Number of uniquely mapped reads in reverse file : 35472762\n",
      "2024-10-17 -- 09:14:57 :: INFO :: Number of multi mapped reads in forward file : 59443286\n",
      "2024-10-17 -- 09:14:57 :: INFO :: Number of multi mapped reads in reverse file : 56970596\n"
     ]
    }
   ],
   "source": [
    "hut.classify_reads( output_dir = output_folder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 4: Build contact matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hi-C contact matrix is going to be built using the read pairs classified in the previous step.\n",
    "\n",
    "The produced contact matrix (in .cool) is going to be normalized using the ICE method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 09:14:57 :: INFO :: Start building pairs file for unambiguously aligned reads\n",
      "2024-10-17 -- 09:16:27 :: INFO :: Pairs file successfully created in tmp/my_library\n",
      "INFO:cooler.create:Writing chunk 0: /home/sardine/Bureau/tutorial/tmp/my_library/tmpt4gyxh59.multi.cool::0\n",
      "INFO:cooler.create:Creating cooler at \"/home/sardine/Bureau/tutorial/tmp/my_library/tmpt4gyxh59.multi.cool::/0\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.create:Writing chunk 1: /home/sardine/Bureau/tutorial/tmp/my_library/tmpt4gyxh59.multi.cool::1\n",
      "INFO:cooler.create:Creating cooler at \"/home/sardine/Bureau/tutorial/tmp/my_library/tmpt4gyxh59.multi.cool::/1\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.create:Writing chunk 2: /home/sardine/Bureau/tutorial/tmp/my_library/tmpt4gyxh59.multi.cool::2\n",
      "INFO:cooler.create:Creating cooler at \"/home/sardine/Bureau/tutorial/tmp/my_library/tmpt4gyxh59.multi.cool::/2\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.create:Merging into tmp/my_library/unrescued_map.cool\n",
      "INFO:cooler.create:Creating cooler at \"tmp/my_library/unrescued_map.cool::/\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.reduce:nnzs: [3574146, 3570234, 1704044]\n",
      "INFO:cooler.reduce:current: [3574146, 3570234, 1704044]\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.cli.balance:Balancing \"tmp/my_library/unrescued_map.cool\"\n",
      "INFO:cooler.balance:variance is 122743344.90695125\n",
      "INFO:cooler.balance:variance is 211147.15648302896\n",
      "INFO:cooler.balance:variance is 68594.15576544323\n",
      "INFO:cooler.balance:variance is 92976.99436259829\n",
      "INFO:cooler.balance:variance is 41348.44191362295\n",
      "INFO:cooler.balance:variance is 66348.47134112733\n",
      "INFO:cooler.balance:variance is 32021.30267203885\n",
      "INFO:cooler.balance:variance is 49995.11223916566\n",
      "INFO:cooler.balance:variance is 25787.54204781249\n",
      "INFO:cooler.balance:variance is 38216.275169273365\n",
      "INFO:cooler.balance:variance is 20922.845733074057\n",
      "INFO:cooler.balance:variance is 29408.517360463928\n",
      "INFO:cooler.balance:variance is 16982.96122915793\n",
      "INFO:cooler.balance:variance is 22727.146052963693\n",
      "INFO:cooler.balance:variance is 13763.797008202846\n",
      "INFO:cooler.balance:variance is 17619.696866678343\n",
      "INFO:cooler.balance:variance is 11132.097258583519\n",
      "INFO:cooler.balance:variance is 13695.548269823908\n",
      "INFO:cooler.balance:variance is 8985.018719289526\n",
      "INFO:cooler.balance:variance is 10668.970371191004\n",
      "INFO:cooler.balance:variance is 7238.056394751527\n",
      "INFO:cooler.balance:variance is 8327.312946987715\n",
      "INFO:cooler.balance:variance is 5820.530165331506\n",
      "INFO:cooler.balance:variance is 6510.692428708155\n",
      "INFO:cooler.balance:variance is 4673.244711801411\n",
      "INFO:cooler.balance:variance is 5098.060995896909\n",
      "INFO:cooler.balance:variance is 3746.8197235468933\n",
      "INFO:cooler.balance:variance is 3997.2843878046915\n",
      "INFO:cooler.balance:variance is 3000.2790519712476\n",
      "INFO:cooler.balance:variance is 3137.925648675021\n",
      "INFO:cooler.balance:variance is 2399.7975669478014\n",
      "INFO:cooler.balance:variance is 2465.9295239550943\n",
      "INFO:cooler.balance:variance is 1917.5860657903845\n",
      "INFO:cooler.balance:variance is 1939.672195019119\n",
      "INFO:cooler.balance:variance is 1530.9106486638314\n",
      "INFO:cooler.balance:variance is 1527.0054840908\n",
      "INFO:cooler.balance:variance is 1221.242165208706\n",
      "INFO:cooler.balance:variance is 1203.0324213274723\n",
      "INFO:cooler.balance:variance is 973.527724955726\n",
      "INFO:cooler.balance:variance is 948.4247409245171\n",
      "INFO:cooler.balance:variance is 775.5734609617684\n",
      "INFO:cooler.balance:variance is 748.144501437939\n",
      "INFO:cooler.balance:variance is 617.5262994694666\n",
      "INFO:cooler.balance:variance is 590.468767654965\n",
      "INFO:cooler.balance:variance is 491.44218177019644\n",
      "INFO:cooler.balance:variance is 466.24272491485\n",
      "INFO:cooler.balance:variance is 390.9286455193502\n",
      "INFO:cooler.balance:variance is 368.3057772204631\n",
      "INFO:cooler.balance:variance is 310.85059121514956\n",
      "INFO:cooler.balance:variance is 291.0491999895363\n",
      "INFO:cooler.balance:variance is 247.08920806618917\n",
      "INFO:cooler.balance:variance is 230.0742329027448\n",
      "INFO:cooler.balance:variance is 196.34525826071837\n",
      "INFO:cooler.balance:variance is 181.9271329755843\n",
      "INFO:cooler.balance:variance is 155.97912219019793\n",
      "INFO:cooler.balance:variance is 143.89339078176508\n",
      "INFO:cooler.balance:variance is 123.88113218122673\n",
      "INFO:cooler.balance:variance is 113.83756490030291\n",
      "INFO:cooler.balance:variance is 98.36673901527269\n",
      "INFO:cooler.balance:variance is 90.0783869143378\n",
      "INFO:cooler.balance:variance is 78.09195237362141\n",
      "INFO:cooler.balance:variance is 71.29120435071235\n",
      "INFO:cooler.balance:variance is 61.9852731714646\n",
      "INFO:cooler.balance:variance is 56.43166093988196\n",
      "INFO:cooler.balance:variance is 49.19299913879837\n",
      "INFO:cooler.balance:variance is 44.67590875835076\n",
      "INFO:cooler.balance:variance is 39.03534517457282\n",
      "INFO:cooler.balance:variance is 35.37371322711671\n",
      "INFO:cooler.balance:variance is 30.971288695041842\n",
      "INFO:cooler.balance:variance is 28.011629807508005\n",
      "INFO:cooler.balance:variance is 24.570439407976828\n",
      "INFO:cooler.balance:variance is 22.18406043802973\n",
      "INFO:cooler.balance:variance is 19.490554123977855\n",
      "INFO:cooler.balance:variance is 17.570483196971054\n",
      "INFO:cooler.balance:variance is 15.45958085596085\n",
      "INFO:cooler.balance:variance is 13.917524182407142\n",
      "INFO:cooler.balance:variance is 12.261331895623426\n",
      "INFO:cooler.balance:variance is 11.02483176472613\n",
      "INFO:cooler.balance:variance is 9.724060929286216\n",
      "INFO:cooler.balance:variance is 8.733939623889302\n",
      "INFO:cooler.balance:variance is 7.711361545090666\n",
      "INFO:cooler.balance:variance is 6.9194811521646855\n",
      "INFO:cooler.balance:variance is 6.114919601850595\n",
      "INFO:cooler.balance:variance is 5.48225521886585\n",
      "INFO:cooler.balance:variance is 4.848744835685294\n",
      "INFO:cooler.balance:variance is 4.343750656405688\n",
      "INFO:cooler.balance:variance is 3.844581898966718\n",
      "INFO:cooler.balance:variance is 3.441820833329779\n",
      "INFO:cooler.balance:variance is 3.0482611656297123\n",
      "INFO:cooler.balance:variance is 2.7272654988842846\n",
      "INFO:cooler.balance:variance is 2.416797898268935\n",
      "INFO:cooler.balance:variance is 2.1611287147615665\n",
      "INFO:cooler.balance:variance is 1.9160870461341364\n",
      "INFO:cooler.balance:variance is 1.7125622352847905\n",
      "INFO:cooler.balance:variance is 1.5190718947685304\n",
      "INFO:cooler.balance:variance is 1.3571355685882727\n",
      "INFO:cooler.balance:variance is 1.2042895320315141\n",
      "INFO:cooler.balance:variance is 1.0754990261572093\n",
      "INFO:cooler.balance:variance is 0.9547158572819051\n",
      "INFO:cooler.balance:variance is 0.8523258112705829\n",
      "INFO:cooler.balance:variance is 0.7568486300503077\n",
      "INFO:cooler.balance:variance is 0.6754747531167891\n",
      "INFO:cooler.balance:variance is 0.5999796286025592\n",
      "INFO:cooler.balance:variance is 0.535327558318567\n",
      "INFO:cooler.balance:variance is 0.47561700820004166\n",
      "INFO:cooler.balance:variance is 0.42426412715909645\n",
      "INFO:cooler.balance:variance is 0.3770269278484935\n",
      "INFO:cooler.balance:variance is 0.33624711849279565\n",
      "INFO:cooler.balance:variance is 0.29886986509809377\n",
      "INFO:cooler.balance:variance is 0.26649297755036794\n",
      "INFO:cooler.balance:variance is 0.23691209090665216\n",
      "INFO:cooler.balance:variance is 0.21121140447244133\n",
      "INFO:cooler.balance:variance is 0.18779679446657518\n",
      "INFO:cooler.balance:variance is 0.16739900584194456\n",
      "INFO:cooler.balance:variance is 0.14886254189368928\n",
      "INFO:cooler.balance:variance is 0.13267584728659915\n",
      "INFO:cooler.balance:variance is 0.11799929090955748\n",
      "INFO:cooler.balance:variance is 0.1051559782852972\n",
      "INFO:cooler.balance:variance is 0.09353420015854391\n",
      "INFO:cooler.balance:variance is 0.08334486143483974\n",
      "INFO:cooler.balance:variance is 0.07414107342681185\n",
      "INFO:cooler.balance:variance is 0.06605811081122955\n",
      "INFO:cooler.balance:variance is 0.05876855083533943\n",
      "INFO:cooler.balance:variance is 0.05235710912400359\n",
      "INFO:cooler.balance:variance is 0.046583168782848516\n",
      "INFO:cooler.balance:variance is 0.04149799543202271\n",
      "INFO:cooler.balance:variance is 0.03692421188611946\n",
      "INFO:cooler.balance:variance is 0.03289124506038918\n",
      "INFO:cooler.balance:variance is 0.029267916247719773\n",
      "INFO:cooler.balance:variance is 0.026069641181500087\n",
      "INFO:cooler.balance:variance is 0.023199088134207797\n",
      "INFO:cooler.balance:variance is 0.02066289503006984\n",
      "INFO:cooler.balance:variance is 0.01838860263152753\n",
      "INFO:cooler.balance:variance is 0.01637753400943464\n",
      "INFO:cooler.balance:variance is 0.014575564567125322\n",
      "INFO:cooler.balance:variance is 0.012980963861271249\n",
      "INFO:cooler.balance:variance is 0.011553166025305244\n",
      "INFO:cooler.balance:variance is 0.01028883831485582\n",
      "INFO:cooler.balance:variance is 0.009157474695838795\n",
      "INFO:cooler.balance:variance is 0.008155049629996927\n",
      "INFO:cooler.balance:variance is 0.007258545853146243\n",
      "INFO:cooler.balance:variance is 0.006463796034078234\n",
      "INFO:cooler.balance:variance is 0.005753376512272479\n",
      "INFO:cooler.balance:variance is 0.0051232950096208405\n",
      "INFO:cooler.balance:variance is 0.00456032002787273\n",
      "INFO:cooler.balance:variance is 0.004060800878834406\n",
      "INFO:cooler.balance:variance is 0.0036146584803428768\n",
      "INFO:cooler.balance:variance is 0.0032186560334891675\n",
      "INFO:cooler.balance:variance is 0.0028650928962186796\n",
      "INFO:cooler.balance:variance is 0.0025511613354756266\n",
      "INFO:cooler.balance:variance is 0.002270961067938841\n",
      "INFO:cooler.balance:variance is 0.0020220957261470876\n",
      "INFO:cooler.balance:variance is 0.0018000321583674164\n",
      "INFO:cooler.balance:variance is 0.001602750353836533\n",
      "INFO:cooler.balance:variance is 0.001426758529531618\n",
      "INFO:cooler.balance:variance is 0.0012703704781203639\n",
      "INFO:cooler.balance:variance is 0.0011308900140818072\n",
      "INFO:cooler.balance:variance is 0.00100692055775263\n",
      "INFO:cooler.balance:variance is 0.0008963754928577477\n",
      "INFO:cooler.balance:variance is 0.0007981054805005255\n",
      "INFO:cooler.balance:variance is 0.0007104922160384205\n",
      "INFO:cooler.balance:variance is 0.0006325948022053995\n",
      "INFO:cooler.balance:variance is 0.0005631556519223578\n",
      "INFO:cooler.balance:variance is 0.0005014078853351009\n",
      "INFO:cooler.balance:variance is 0.00044637243514331656\n",
      "INFO:cooler.balance:variance is 0.0003974265628632592\n",
      "INFO:cooler.balance:variance is 0.00035380674522099735\n",
      "INFO:cooler.balance:variance is 0.00031500887654480004\n",
      "INFO:cooler.balance:variance is 0.00028043659713539946\n",
      "INFO:cooler.balance:variance is 0.00024968292542445645\n",
      "INFO:cooler.balance:variance is 0.00022228140145718852\n",
      "INFO:cooler.balance:variance is 0.0001979042091125484\n",
      "INFO:cooler.balance:variance is 0.00017618601667862186\n",
      "INFO:cooler.balance:variance is 0.00015686329662998035\n",
      "INFO:cooler.balance:variance is 0.00013964958014973922\n",
      "INFO:cooler.balance:variance is 0.00012433338323829978\n",
      "INFO:cooler.balance:variance is 0.00011068983272324492\n",
      "INFO:cooler.balance:variance is 9.85494625051873e-05\n",
      "INFO:cooler.balance:variance is 8.773557733556546e-05\n",
      "INFO:cooler.balance:variance is 7.811255672953136e-05\n",
      "INFO:cooler.balance:variance is 6.954143778559177e-05\n",
      "INFO:cooler.balance:variance is 6.191380878026993e-05\n",
      "INFO:cooler.balance:variance is 5.512029355564903e-05\n",
      "INFO:cooler.balance:variance is 4.907431621669184e-05\n",
      "INFO:cooler.balance:variance is 4.368972537519327e-05\n",
      "INFO:cooler.balance:variance is 3.8897442922560096e-05\n",
      "INFO:cooler.balance:variance is 3.462956622141431e-05\n",
      "INFO:cooler.balance:variance is 3.0831020535413244e-05\n",
      "INFO:cooler.balance:variance is 2.7448254891032806e-05\n",
      "INFO:cooler.balance:variance is 2.4437388666308234e-05\n",
      "INFO:cooler.balance:variance is 2.1756166806235192e-05\n",
      "INFO:cooler.balance:variance is 1.936964824392943e-05\n",
      "INFO:cooler.balance:variance is 1.7244475200948022e-05\n",
      "INFO:cooler.balance:variance is 1.5352839479180623e-05\n",
      "INFO:cooler.balance:variance is 1.3668395879774661e-05\n",
      "INFO:cooler.balance:variance is 1.2169023165610765e-05\n",
      "INFO:cooler.balance:variance is 1.0833906523001572e-05\n",
      "INFO:cooler.balance:variance is 9.64545582198916e-06\n",
      "2024-10-17 -- 09:18:46 :: INFO :: Cooler matrix successfully created in tmp/my_library\n"
     ]
    }
   ],
   "source": [
    "hio.build_pairs(output_dir = output_folder)\n",
    "hio.build_matrix(cpus = cpus, balance = True, output_dir = output_folder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing the contact matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3133923/3058769468.py:5: RuntimeWarning: divide by zero encountered in log10\n",
      "  plt.imshow(np.log10(chromosome_I), cmap = \"YlOrRd\", vmin = -3.5, vmax = -1.2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matrix = cooler.Cooler(\"./tmp/my_library/unrescued_map.cool\")\n",
    "chromosome_I = matrix.matrix(balance = True).fetch(\"chr1\")\n",
    "\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.imshow(np.log10(chromosome_I), cmap = \"YlOrRd\", vmin = -3.5, vmax = -1.2)\n",
    "plt.colorbar(fraction = 0.02, label = \"Normalized contact frequency\")\n",
    "plt.title(\"Chromosome I contact map\")\n",
    "plt.xlabel(\"Bin number\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 5: Profiling Hi-C data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Statistical profiling of the Hi-C data is going to be performed.\n",
    "\n",
    "The following metrics are going to be calculated (standard mode):\n",
    "- $P(s)$ : the probability of contact between two loci separated by a genomic distance $s$\n",
    "- Coverage : the read coverage of the Hi-C data per bin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 09:18:46 :: INFO :: Generating restriction map...\n",
      "2024-10-17 -- 09:18:47 :: INFO :: Saved restriction map at : tmp/my_library\n",
      "2024-10-17 -- 09:18:47 :: INFO :: Start generating distribution of fragments' distance...\n",
      "2024-10-17 -- 09:27:13 :: INFO :: Saved restriction map at : tmp/my_library/dist.frag.npy\n",
      "2024-10-17 -- 09:27:13 :: INFO :: Start log binning of genome...\n",
      "2024-10-17 -- 09:27:13 :: INFO :: Log binning of genome data/SC288_with_micron.fa saved in tmp/my_library/xs.npy.\n",
      "2024-10-17 -- 09:27:13 :: INFO :: Start generating patterns distribution...\n",
      "2024-10-17 -- 09:27:13 :: INFO :: Start getting trans-P(s)\n",
      "2024-10-17 -- 09:27:13 :: INFO :: Start generating coverages...\n",
      "2024-10-17 -- 09:27:22 :: INFO :: Trans P(s) saved in tmp/my_library\n",
      "2024-10-17 -- 09:30:50 :: INFO :: Coverage dictionary saved in tmp/my_library\n",
      "2024-10-17 -- 09:33:10 :: INFO :: Saved weirds.npy, uncuts.npy and loops.npy in tmp/my_library\n"
     ]
    }
   ],
   "source": [
    "# Get the restriction map of the genome\n",
    "restriction_map = hst.get_restriction_map(genome = genome, enzyme = restriction_enzyme, output_dir = output_folder)\n",
    "\n",
    "# Compute the distance between fragments and bin the genome\n",
    "hst.get_dist_frags(genome = genome, restriction_map = restriction_map, circular = circular, rate = rate, output_dir = output_folder)\n",
    "hst.log_bin_genome(genome = genome, output_dir = output_folder)\n",
    "\n",
    "# Define the profiles to be established\n",
    "p1 = Process(target = hst.get_patterns, kwargs = dict(circular = circular, output_dir = output_folder))\n",
    "p2 = Process(target = hst.generate_trans_ps, kwargs = dict(output_dir = output_folder))\n",
    "p3 = Process(target = hst.generate_coverages, kwargs = dict(genome = genome, bins = resolution, output_dir = output_folder))\n",
    "\n",
    "# Start the processes\n",
    "for process in [p1, p2, p3]:\n",
    "            process.start()\n",
    "\n",
    "for process in [p1, p2, p3]:\n",
    "    process.join()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 6: Infer ambiguous read pairs from statistical profile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Previously profiled Hi-C data is going to be used to infer ambiguous read pairs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 09:33:10 :: INFO :: Start chunking BAM files\n",
      "2024-10-17 -- 09:41:16 :: INFO :: Chunks saved in tmp/my_library/chunks\n",
      "2024-10-17 -- 09:44:14 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:23 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:32 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:36 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:37 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:37 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:38 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:38 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:39 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:39 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:39 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:41 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:42 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:48 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:50 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:44:53 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:45:00 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:30 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:36 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:36 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:41 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:41 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:43 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:43 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:44 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:45 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:47 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:47 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:49 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:52 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:56 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:59 :: INFO :: Predictions written in tmp/my_library\n",
      "2024-10-17 -- 09:47:59 :: INFO :: Start merging predictions\n"
     ]
    }
   ],
   "source": [
    "# Reload restriction map\n",
    "restriction_map = hio.load_dictionary(Path(output_folder) / RESTRICTION_MAP)\n",
    "\n",
    "# Split the alignement files\n",
    "hut.chunk_bam(nb_chunks = 32, output_dir = output_folder)\n",
    "\n",
    "# Get chunks as lists\n",
    "forward_chunks, reverse_chunks = hut.get_chunks(output_dir = output_folder)\n",
    "\n",
    "# Reattribute reads\n",
    "with multiprocessing.Pool(processes = cpus) as pool: # cpus\n",
    "\n",
    "    results = pool.map(partial(hst.reattribute_reads, mode = mode, restriction_map = restriction_map, output_dir = output_folder),\n",
    "    zip(forward_chunks, reverse_chunks))\n",
    "    pool.close()\n",
    "    pool.join()\n",
    "\n",
    "hio.merge_predictions(output_dir = output_folder, clean = True, cpus = cpus)\n",
    "\n",
    "# Temporary files cleaning\n",
    "folder_to_delete = Path(output_folder) / 'chunks'\n",
    "rmtree(folder_to_delete)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 7: Build contact matrix with inferred read pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 09:48:06 :: INFO :: Start building pairs file for ambiguously aligned reads\n",
      "2024-10-17 -- 09:49:55 :: INFO :: Pairs file successfully created in tmp/my_library\n",
      "INFO:cooler.create:Writing chunk 0: /home/sardine/Bureau/tutorial/tmp/my_library/tmp0fen71zc.multi.cool::0\n",
      "INFO:cooler.create:Creating cooler at \"/home/sardine/Bureau/tutorial/tmp/my_library/tmp0fen71zc.multi.cool::/0\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.create:Writing chunk 1: /home/sardine/Bureau/tutorial/tmp/my_library/tmp0fen71zc.multi.cool::1\n",
      "INFO:cooler.create:Creating cooler at \"/home/sardine/Bureau/tutorial/tmp/my_library/tmp0fen71zc.multi.cool::/1\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.create:Writing chunk 2: /home/sardine/Bureau/tutorial/tmp/my_library/tmp0fen71zc.multi.cool::2\n",
      "INFO:cooler.create:Creating cooler at \"/home/sardine/Bureau/tutorial/tmp/my_library/tmp0fen71zc.multi.cool::/2\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.create:Merging into tmp/my_library/rescued_map.cool\n",
      "INFO:cooler.create:Creating cooler at \"tmp/my_library/rescued_map.cool::/\"\n",
      "INFO:cooler.create:Writing chroms\n",
      "INFO:cooler.create:Writing bins\n",
      "INFO:cooler.create:Writing pixels\n",
      "INFO:cooler.reduce:nnzs: [3574146, 3570234, 2935339]\n",
      "INFO:cooler.reduce:current: [3574146, 3570234, 2935339]\n",
      "INFO:cooler.create:Writing indexes\n",
      "INFO:cooler.create:Writing info\n",
      "INFO:cooler.cli.balance:Balancing \"tmp/my_library/rescued_map.cool\"\n",
      "INFO:cooler.balance:variance is 222461452.62033328\n",
      "INFO:cooler.balance:variance is 265627.0744999617\n",
      "INFO:cooler.balance:variance is 203037.49208577862\n",
      "INFO:cooler.balance:variance is 68317.08886766927\n",
      "INFO:cooler.balance:variance is 34611.153812396326\n",
      "INFO:cooler.balance:variance is 36346.949268297096\n",
      "INFO:cooler.balance:variance is 20394.799365397907\n",
      "INFO:cooler.balance:variance is 25664.679316998878\n",
      "INFO:cooler.balance:variance is 15513.78533982416\n",
      "INFO:cooler.balance:variance is 19231.42455331384\n",
      "INFO:cooler.balance:variance is 12207.20489575824\n",
      "INFO:cooler.balance:variance is 14590.926346117578\n",
      "INFO:cooler.balance:variance is 9638.025839863622\n",
      "INFO:cooler.balance:variance is 11118.084032059145\n",
      "INFO:cooler.balance:variance is 7601.712161122348\n",
      "INFO:cooler.balance:variance is 8493.722588675077\n",
      "INFO:cooler.balance:variance is 5985.6618435290675\n",
      "INFO:cooler.balance:variance is 6501.814767760592\n",
      "INFO:cooler.balance:variance is 4705.443155774952\n",
      "INFO:cooler.balance:variance is 4985.443123997591\n",
      "INFO:cooler.balance:variance is 3693.518781678391\n",
      "INFO:cooler.balance:variance is 3828.318788600394\n",
      "INFO:cooler.balance:variance is 2895.356701564661\n",
      "INFO:cooler.balance:variance is 2943.528515069523\n",
      "INFO:cooler.balance:variance is 2267.0038448588325\n",
      "INFO:cooler.balance:variance is 2265.7736544576296\n",
      "INFO:cooler.balance:variance is 1773.1716866482163\n",
      "INFO:cooler.balance:variance is 1745.7983638718365\n",
      "INFO:cooler.balance:variance is 1385.641781918313\n",
      "INFO:cooler.balance:variance is 1346.3234742539407\n",
      "INFO:cooler.balance:variance is 1081.931979701887\n",
      "INFO:cooler.balance:variance is 1039.0520548750083\n",
      "INFO:cooler.balance:variance is 844.188401592781\n",
      "INFO:cooler.balance:variance is 802.4500038364816\n",
      "INFO:cooler.balance:variance is 658.272879559998\n",
      "INFO:cooler.balance:variance is 620.0924919205228\n",
      "INFO:cooler.balance:variance is 513.0173874049375\n",
      "INFO:cooler.balance:variance is 479.4264515620404\n",
      "INFO:cooler.balance:variance is 399.6191527606135\n",
      "INFO:cooler.balance:variance is 370.84074565410003\n",
      "INFO:cooler.balance:variance is 311.15283239990066\n",
      "INFO:cooler.balance:variance is 286.9650340838589\n",
      "INFO:cooler.balance:variance is 242.17909891048436\n",
      "INFO:cooler.balance:variance is 222.13940387824437\n",
      "INFO:cooler.balance:variance is 188.43195200424995\n",
      "INFO:cooler.balance:variance is 172.01202733839793\n",
      "INFO:cooler.balance:variance is 146.56985390457223\n",
      "INFO:cooler.balance:variance is 133.23316277863609\n",
      "INFO:cooler.balance:variance is 113.97829847097003\n",
      "INFO:cooler.balance:variance is 103.2218962700649\n",
      "INFO:cooler.balance:variance is 88.61361905986729\n",
      "INFO:cooler.balance:variance is 79.98796979555587\n",
      "INFO:cooler.balance:variance is 68.87971843947356\n",
      "INFO:cooler.balance:variance is 61.99543891213742\n",
      "INFO:cooler.balance:variance is 53.53098450005511\n",
      "INFO:cooler.balance:variance is 48.05817049069423\n",
      "INFO:cooler.balance:variance is 41.59596796475303\n",
      "INFO:cooler.balance:variance is 37.259629427814474\n",
      "INFO:cooler.balance:variance is 32.317476879878576\n",
      "INFO:cooler.balance:variance is 28.89123007413104\n",
      "INFO:cooler.balance:variance is 25.105621505863\n",
      "INFO:cooler.balance:variance is 22.40490183159967\n",
      "INFO:cooler.balance:variance is 19.501054315609725\n",
      "INFO:cooler.balance:variance is 17.376554765074047\n",
      "INFO:cooler.balance:variance is 15.146221802469277\n",
      "INFO:cooler.balance:variance is 13.477915332515327\n",
      "INFO:cooler.balance:variance is 11.762902656456946\n",
      "INFO:cooler.balance:variance is 10.454797418448969\n",
      "INFO:cooler.balance:variance is 9.134671840197043\n",
      "INFO:cooler.balance:variance is 8.11032650024919\n",
      "INFO:cooler.balance:variance is 7.093220000835592\n",
      "INFO:cooler.balance:variance is 6.291979840848916\n",
      "INFO:cooler.balance:variance is 5.50768723515839\n",
      "INFO:cooler.balance:variance is 4.881569176500869\n",
      "INFO:cooler.balance:variance is 4.276351562903511\n",
      "INFO:cooler.balance:variance is 3.7874940571915348\n",
      "INFO:cooler.balance:variance is 3.3201553749541253\n",
      "INFO:cooler.balance:variance is 2.9387485769733237\n",
      "INFO:cooler.balance:variance is 2.577665533618847\n",
      "INFO:cooler.balance:variance is 2.2802828741808137\n",
      "INFO:cooler.balance:variance is 2.0011510731414295\n",
      "INFO:cooler.balance:variance is 1.7694119577286622\n",
      "INFO:cooler.balance:variance is 1.553531662903707\n",
      "INFO:cooler.balance:variance is 1.3730345634422854\n",
      "INFO:cooler.balance:variance is 1.206004198853658\n",
      "INFO:cooler.balance:variance is 1.0654787679861017\n",
      "INFO:cooler.balance:variance is 0.936197289349774\n",
      "INFO:cooler.balance:variance is 0.826832730971304\n",
      "INFO:cooler.balance:variance is 0.7267365377723248\n",
      "INFO:cooler.balance:variance is 0.6416510610481222\n",
      "INFO:cooler.balance:variance is 0.5641293984671298\n",
      "INFO:cooler.balance:variance is 0.49795210207674995\n",
      "INFO:cooler.balance:variance is 0.4378985714261102\n",
      "INFO:cooler.balance:variance is 0.38644059294050076\n",
      "INFO:cooler.balance:variance is 0.3399086437137925\n",
      "INFO:cooler.balance:variance is 0.29990496137602984\n",
      "INFO:cooler.balance:variance is 0.26384295428023746\n",
      "INFO:cooler.balance:variance is 0.2327499619525307\n",
      "INFO:cooler.balance:variance is 0.20479721533873968\n",
      "INFO:cooler.balance:variance is 0.18063422602779278\n",
      "INFO:cooler.balance:variance is 0.15896386424211642\n",
      "INFO:cooler.balance:variance is 0.14018914657064085\n",
      "INFO:cooler.balance:variance is 0.12338691097800654\n",
      "INFO:cooler.balance:variance is 0.10880082774295192\n",
      "INFO:cooler.balance:variance is 0.09577155221062855\n",
      "INFO:cooler.balance:variance is 0.08444093890449494\n",
      "INFO:cooler.balance:variance is 0.07433632749583541\n",
      "INFO:cooler.balance:variance is 0.06553549617329493\n",
      "INFO:cooler.balance:variance is 0.057698318605541844\n",
      "INFO:cooler.balance:variance is 0.050863061200990975\n",
      "INFO:cooler.balance:variance is 0.04478401166359734\n",
      "INFO:cooler.balance:variance is 0.03947575825734514\n",
      "INFO:cooler.balance:variance is 0.03476008867871069\n",
      "INFO:cooler.balance:variance is 0.03063799225916596\n",
      "INFO:cooler.balance:variance is 0.026979694934820428\n",
      "INFO:cooler.balance:variance is 0.02377889889414335\n",
      "INFO:cooler.balance:variance is 0.020940723195859153\n",
      "INFO:cooler.balance:variance is 0.018455448464227427\n",
      "INFO:cooler.balance:variance is 0.01625342833163224\n",
      "INFO:cooler.balance:variance is 0.014323815569577111\n",
      "INFO:cooler.balance:variance is 0.0126152861866686\n",
      "INFO:cooler.balance:variance is 0.011117162238936005\n",
      "INFO:cooler.balance:variance is 0.009791476731893659\n",
      "INFO:cooler.balance:variance is 0.008628397428428998\n",
      "INFO:cooler.balance:variance is 0.007599733637628835\n",
      "INFO:cooler.balance:variance is 0.006696797948948116\n",
      "INFO:cooler.balance:variance is 0.0058985836189839585\n",
      "INFO:cooler.balance:variance is 0.005197625770542358\n",
      "INFO:cooler.balance:variance is 0.004578217280341328\n",
      "INFO:cooler.balance:variance is 0.004034070504246006\n",
      "INFO:cooler.balance:variance is 0.0035534027575559765\n",
      "INFO:cooler.balance:variance is 0.0031309962543518517\n",
      "INFO:cooler.balance:variance is 0.0027579851223802124\n",
      "INFO:cooler.balance:variance is 0.0024300887161933784\n",
      "INFO:cooler.balance:variance is 0.0021406167430841447\n",
      "INFO:cooler.balance:variance is 0.0018860889253746512\n",
      "INFO:cooler.balance:variance is 0.0016614431650792962\n",
      "INFO:cooler.balance:variance is 0.0014638703093149638\n",
      "INFO:cooler.balance:variance is 0.0012895306954268852\n",
      "INFO:cooler.balance:variance is 0.0011361701973132596\n",
      "INFO:cooler.balance:variance is 0.0010008697132425617\n",
      "INFO:cooler.balance:variance is 0.0008818292403333155\n",
      "INFO:cooler.balance:variance is 0.0007768248652724758\n",
      "INFO:cooler.balance:variance is 0.0006844250114445625\n",
      "INFO:cooler.balance:variance is 0.0006029321354685735\n",
      "INFO:cooler.balance:variance is 0.0005312115266200924\n",
      "INFO:cooler.balance:variance is 0.00046796515708374834\n",
      "INFO:cooler.balance:variance is 0.0004122961897095803\n",
      "INFO:cooler.balance:variance is 0.00036321050842921907\n",
      "INFO:cooler.balance:variance is 0.0003200010032721617\n",
      "INFO:cooler.balance:variance is 0.0002819052187005473\n",
      "INFO:cooler.balance:variance is 0.0002483667897369543\n",
      "INFO:cooler.balance:variance is 0.000218800178140602\n",
      "INFO:cooler.balance:variance is 0.00019276840476488156\n",
      "INFO:cooler.balance:variance is 0.00016982127224280855\n",
      "INFO:cooler.balance:variance is 0.00014961609355915994\n",
      "INFO:cooler.balance:variance is 0.00013180636669140404\n",
      "INFO:cooler.balance:variance is 0.00011612370452332751\n",
      "INFO:cooler.balance:variance is 0.00010230116538439575\n",
      "INFO:cooler.balance:variance is 9.012879244733173e-05\n",
      "INFO:cooler.balance:variance is 7.94007637882386e-05\n",
      "INFO:cooler.balance:variance is 6.995299454005778e-05\n",
      "INFO:cooler.balance:variance is 6.162666936868221e-05\n",
      "INFO:cooler.balance:variance is 5.429366335540948e-05\n",
      "INFO:cooler.balance:variance is 4.7831350255492554e-05\n",
      "INFO:cooler.balance:variance is 4.213975916168431e-05\n",
      "INFO:cooler.balance:variance is 3.7124150210507775e-05\n",
      "INFO:cooler.balance:variance is 3.2706570852012235e-05\n",
      "INFO:cooler.balance:variance is 2.8813787252046603e-05\n",
      "INFO:cooler.balance:variance is 2.538505032624985e-05\n",
      "INFO:cooler.balance:variance is 2.2363723783837456e-05\n",
      "INFO:cooler.balance:variance is 1.9702488898759993e-05\n",
      "INFO:cooler.balance:variance is 1.7357527033179515e-05\n",
      "INFO:cooler.balance:variance is 1.529199668550602e-05\n",
      "INFO:cooler.balance:variance is 1.3471983508729229e-05\n",
      "INFO:cooler.balance:variance is 1.1868814304950752e-05\n",
      "INFO:cooler.balance:variance is 1.0456231763266501e-05\n",
      "INFO:cooler.balance:variance is 9.211927404493302e-06\n",
      "2024-10-17 -- 09:52:28 :: INFO :: Cooler matrix successfully created in tmp/my_library\n"
     ]
    }
   ],
   "source": [
    "# Build pairs with both ambiguous  and infered reads\n",
    "hio.build_pairs(mode = True, output_dir = output_folder)\n",
    "# Build reconstructed matrix\n",
    "hio.build_matrix(cpus = cpus, balance = True, mode = True, output_dir = output_folder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 8: Plot the reconstructed matrix and profiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-17 -- 09:52:30 :: INFO :: Saved coverages at : tmp/my_library\n",
      "2024-10-17 -- 09:52:35 :: INFO :: Saved plots of patterns at : tmp/my_library\n",
      "2024-10-17 -- 09:52:36 :: INFO :: Saved pseudo P(s) of patterns at : tmp/my_library\n"
     ]
    }
   ],
   "source": [
    "p1 = Process(target = hpl.plot_laws, kwargs = dict(output_dir = output_folder))\n",
    "p2 = Process(target = hpl.plot_trans_ps, kwargs = dict(output_dir = output_folder))\n",
    "p3 = Process(target = hpl.plot_coverages, kwargs = dict(bins = resolution, output_dir = output_folder))\n",
    "\n",
    "for process in [p1, p2, p3]:\n",
    "\n",
    "        process.start()\n",
    "# Launch processes\n",
    "for process in [p1, p2, p3]:\n",
    "\n",
    "        process.join()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load reconstructed matrix\n",
    "matrix_reconstructed = cooler.Cooler(\"./tmp/my_library/rescued_map.cool\")\n",
    "\n",
    "chromosome_I_reconstructed = matrix_reconstructed.matrix(balance = True).fetch(\"chr1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing the contact matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chromosome I exhibits a clear diagonal pattern, which is expected for Hi-C data.\n",
    "\n",
    "Hicberg was able to reconstruct the contact matrix with the inferred read pairs, and allow better visualization of (sub)telomere contact behavior."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3133923/382376023.py:5: RuntimeWarning: divide by zero encountered in log10\n",
      "  plt.imshow(np.log10(chromosome_I), cmap=\"YlOrRd\", vmin=-3.5, vmax=-1.2)\n",
      "/tmp/ipykernel_3133923/382376023.py:10: RuntimeWarning: divide by zero encountered in log10\n",
      "  plt.imshow(np.log10(chromosome_I_reconstructed), cmap=\"YlOrRd\", vmin=-3.5, vmax=-1.2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "\n",
    "plt.subplots_adjust(wspace=0.3)\n",
    "ax1 = plt.subplot(1, 2, 1)\n",
    "plt.imshow(np.log10(chromosome_I), cmap=\"YlOrRd\", vmin=-3.5, vmax=-1.2)\n",
    "plt.title(\"Native contact map\")\n",
    "plt.xlabel(\"Bin number\", fontsize = 12)\n",
    "\n",
    "ax2 = plt.subplot(1, 2, 2)\n",
    "plt.imshow(np.log10(chromosome_I_reconstructed), cmap=\"YlOrRd\", vmin=-3.5, vmax=-1.2)\n",
    "plt.title(\"Reconstructed contact map\")\n",
    "plt.xlabel(\"Bin number\", fontsize=12)\n",
    "\n",
    "divider1 = make_axes_locatable(ax1)\n",
    "cax1 = divider1.append_axes(\"right\", size=\"10%\", pad=0.1)  # Adjust size and pad as needed\n",
    "plt.colorbar(cax=cax1, label=\"Normalized contact frequency\")\n",
    "\n",
    "divider2 = make_axes_locatable(ax2)\n",
    "cax2 = divider2.append_axes(\"right\", size=\"10%\", pad=0.1)\n",
    "plt.colorbar(cax=cax2, label=\"Normalized contact frequency\")\n",
    "plt.suptitle(\"Comparison between the original and the reconstructed contact maps of chromosome I\", position=(0.5, 0.9), fontsize = 14)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing the profiling results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we can see the $P(s)$ and coverage profiles of the Hi-C data before and after the inference of ambiguous read pairs.\n",
    "\n",
    "For tutorial purposes, only chromosome I will be visualized."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# reaload the statistics\n",
    "xs = hio.load_dictionary(\"./tmp/my_library/xs.npy\")\n",
    "weirds = hio.load_dictionary(\"./tmp/my_library/weirds.npy\")\n",
    "uncuts = hio.load_dictionary(\"./tmp/my_library/uncuts.npy\")\n",
    "loops = hio.load_dictionary(\"./tmp/my_library/loops.npy\")\n",
    "\n",
    "chromosome = \"chr1\"    \n",
    "plt.figure(figsize=(14, 6))\n",
    "plt.subplots_adjust(wspace=0.3)\n",
    "ax1 = plt.subplot(121)\n",
    "\n",
    "ax1.loglog(xs[chromosome], weirds[chromosome], \"o\", label=\"mirrors\")\n",
    "ax1.loglog(xs[chromosome], uncuts[chromosome], \"o\", label=\"dangling-ends\")\n",
    "ax1.loglog(xs[chromosome], loops[chromosome], \"o\", label=\"self-cirucularized\")\n",
    "ax1.set_title(f\"Distribution of Hi-C events across chromosome I\", fontsize = 14)\n",
    "ax1.set_xlabel(\"Logarithmic binned genomic distances\", fontsize = 12)\n",
    "ax1.set_ylabel(\"Number of events\", fontsize = 12)\n",
    "ax1.grid()\n",
    "ax1.legend(fontsize = 12)\n",
    "\n",
    "ax2 = plt.subplot(122)\n",
    "ax2.plot(coverage[chromosome], label=\"Smoothed coverage\")        \n",
    "ax2.set_title(f\"Covering across chromosome I - bins of {resolution} bp\", fontsize = 14)\n",
    "ax2.set_xlabel(f\"Bin number\", fontsize = 12)\n",
    "ax2.set_ylabel(\"Number of reads\", fontsize = 12)\n",
    "ax2.legend(fontsize = 12)\n",
    "ax2.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 9: Clean temppoary files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "hio.tidy_folder(output_dir = output_folder)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}