{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Dots & focal enrichment\n", "\n", "Welcome to the dot calling notebook!\n", "\n", "Punctate pairwise peaks of enriched contact frequency are a prevalent feature of mammalian interphase contact maps. These features are also referred to as ‘dots’ or ‘loops’ in the literature, and can appear either in isolation or as parts of grids and at the corners of domains.\n", "\n", "HiCCUPS, proposed in [Rao et al. 2014](https://doi.org/10.1016/j.cell.2014.11.021), is a common approach for calling dots in contact maps. HICCUPS uses a multi-step procedure to score and return a filtered list of extracted dots. Scoring is done by convolving a set of ***kernels*** with the contact map. However, since HICCUPS is written in Java it is challenging to modify the parameters used at specific steps of the calling procedure, which can be important for calling dots at new resolutions or in new organismal or cellular contexts.\n", "\n", "*Cooltools* implements a similar approach for calling dots in Python. This enables users to easily vary the parameters and processing steps used for different Hi-C or Micro-C datasets." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "from itertools import chain\n", "\n", "# Hi-C utilities imports: \n", "import cooler\n", "import bioframe\n", "import cooltools\n", "from cooltools.lib.numutils import fill_diag\n", "from packaging import version\n", "if version.parse(cooltools.__version__) < version.parse('0.5.2'):\n", " raise AssertionError(\"tutorials rely on cooltools version 0.5.2 or higher,\"+\n", " \"please check your cooltools version and update to the latest\")\n", "\n", "# Visualization imports: \n", "import matplotlib.pyplot as plt\n", "from matplotlib.colors import LogNorm\n", "import matplotlib.patches as patches\n", "from matplotlib.ticker import EngFormatter\n", "\n", "# helper functions for plotting\n", "bp_formatter = EngFormatter('b')\n", "def format_ticks(ax, x=True, y=True, rotate=True):\n", " \"\"\"format ticks with genomic coordinates as human readable\"\"\"\n", " if y:\n", " ax.yaxis.set_major_formatter(bp_formatter)\n", " if x:\n", " ax.xaxis.set_major_formatter(bp_formatter)\n", " ax.xaxis.tick_bottom()\n", " if rotate:\n", " ax.tick_params(axis='x',rotation=45)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load data and define a genomic view\n", "\n", "To call dots, we need an input cooler file with Hi-C data, and regions for calculation of expected (e.g. chromosomes or chromosome arms)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Download the test data from osf and define cooler:\n", "data_dir = './data/'\n", "cool_file = cooltools.download_data(\"HFF_MicroC\", cache=True, data_dir=data_dir)\n", "# 10 kb is a resolution at which one can clearly see \"dots\":\n", "binsize = 10_000\n", "# Open cool file with Micro-C data:\n", "clr = cooler.Cooler(f'{data_dir}/test.mcool::/resolutions/{binsize}')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# define genomic view that will be used to call dots and pre-compute expected\n", "\n", "# Use bioframe to fetch the genomic features from the UCSC.\n", "hg38_chromsizes = bioframe.fetch_chromsizes('hg38')\n", "hg38_cens = bioframe.fetch_centromeres('hg38')\n", "hg38_arms = bioframe.make_chromarms(hg38_chromsizes, hg38_cens)\n", "\n", "# Select only chromosomes that are present in the cooler. \n", "hg38_arms = hg38_arms.set_index(\"chrom\").loc[clr.chromnames].reset_index()\n", "\n", "# intra-arm expected\n", "expected = cooltools.expected_cis(\n", " clr,\n", " view_df=hg38_arms,\n", " nproc=4,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Dot-calling with default parameters\n", "\n", "We first call dots with default parameters (i.e. similar to HiCCUPs). Later we illustrate the various parameters than can be easily modified in *cooltools*.\n", "\n", "Here is a brief description of the steps involved in *cooltools* `dots()`:\n", "\n", "- A set of convolution ***kernels*** are recommended based on the resolution of `clr`, if user-defined convolution kernels are not provided (i.e. `kernels=None`). \n", "\n", "- The requested portion of the heatmap (defined by `view_df` and `max_loci_separation`) is split into smaller ***tiles*** of size `tile_size`. This ensures the entire heatmap is not loaded into memory at once, and computationally intensive steps can be done in parallel using `nproc` workers. `tile_size` and `nproc` do not affect the outcome of the procedure.\n", "\n", "- Tiles of the heatmap are convolved with the provided kernels to calculate localy adjusted expected for each pixel. This is in turn used to calculate p-values, assuming a Poisson distribution of pixel counts.\n", "\n", "- Pixels are assigned to geometrically-spaced \"lambda-bins\" of locally-adjusted expected for statistical testing. Within each lambda-bin, signficantly enriched pixels are \"caled\" using [BH-FDR](https://en.wikipedia.org/wiki/False_discovery_rate) multiple hypothesis testing procedure, and thresholds of significance are calculated for each lambda-bin and each kernel-type (controlled by `lambda_bin_fdr`).\n", "\n", "- Significantly-enriched pixels are extracted, based on the thresholds in each lambda bin. Note the *cooltools* implementation of this step involves a second pass with the same convolution kernels to re-score pixels, as this is less costly than storing all such scores in memory.\n", "\n", "- Additional clustering and empirical filtering is optionally performed (depending on `clustering_radius` and `cluster_filtering`). \n", "\n", "See the [`dotfinder` docstring](https://github.com/open2c/cooltools/blob/master/cooltools/api/dotfinder.py) for additional practical details of the implementation.\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:root:Using recommended donut-based kernels with w=5, p=2 for binsize=10000\n", "INFO:root: matrix 9314X9314 to be split into 361 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 14907X14907 to be split into 900 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 2472X2472 to be split into 25 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 5855X5855 to be split into 144 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root:convolving 186 tiles to build histograms for lambda-bins\n", "INFO:root:creating a Pool of 4 workers to tackle 186 tiles\n", "INFO:root:Done building histograms in 29.498 sec ...\n", "INFO:root:Determined thresholds for every lambda-bin ...\n", "INFO:root:convolving 186 tiles to extract enriched pixels\n", "INFO:root:creating a Pool of 4 workers to tackle 186 tiles\n", "INFO:root:Done extracting enriched pixels in 22.276 sec ...\n", "INFO:root:Begin post-processing of 15303 filtered pixels\n", "INFO:root:preparing to extract needed q-values ...\n", "INFO:root:clustering enriched pixels in region: chr17_p\n", "INFO:root:detected 341 clusters of 2.96+/-2.60 size\n", "INFO:root:clustering enriched pixels in region: chr17_q\n", "INFO:root:detected 939 clusters of 3.23+/-2.99 size\n", "INFO:root:clustering enriched pixels in region: chr2_p\n", "INFO:root:detected 1400 clusters of 3.12+/-2.93 size\n", "INFO:root:clustering enriched pixels in region: chr2_q\n", "INFO:root:detected 2203 clusters of 3.13+/-2.87 size\n", "INFO:root:Clustering is complete\n", "INFO:root:filtered 3145 out of 4883 centroids to reduce the number of false-positives\n" ] } ], "source": [ "dots_df = cooltools.dots(\n", " clr,\n", " expected=expected,\n", " view_df=hg38_arms,\n", " # how far from the main diagonal to call dots:\n", " max_loci_separation=10_000_000,\n", " nproc=4,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualizing dot-calling with the default parameters\n", "To visualize the results of this dot calling, we overlay small rectangles at the positions of the called dots over the HiC map." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# create a functions that would return a series of rectangles around called dots\n", "# in a specific region, and exposing importnat plotting parameters\n", "def rectangles_around_dots(dots_df, region, loc=\"upper\", lw=1, ec=\"cyan\", fc=\"none\"):\n", " \"\"\"\n", " yield a series of rectangles around called dots in a given region\n", " \"\"\"\n", " # select dots from the region:\n", " df_reg = bioframe.select(\n", " bioframe.select(dots_df, region, cols=(\"chrom1\",\"start1\",\"end1\")),\n", " region,\n", " cols=(\"chrom2\",\"start2\",\"end2\"),\n", " )\n", " rectangle_kwargs = dict(lw=lw, ec=ec, fc=fc)\n", " # draw rectangular \"boxes\" around pixels called as dots in the \"region\":\n", " for s1, s2, e1, e2 in df_reg[[\"start1\", \"start2\", \"end1\", \"end2\"]].itertuples(index=False):\n", " width1 = e1 - s1\n", " width2 = e2 - s2\n", " if loc == \"upper\":\n", " yield patches.Rectangle((s2, s1), width2, width1, **rectangle_kwargs)\n", " elif loc == \"lower\":\n", " yield patches.Rectangle((s1, s2), width1, width2, **rectangle_kwargs)\n", " else:\n", " raise ValueError(\"loc has to be uppper or lower\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# define a region to look into as an example\n", "start = 34_150_000\n", "end = start + 1_200_000\n", "region = ('chr17', start, end)\n", "\n", "# heatmap kwargs\n", "matshow_kwargs = dict(\n", " cmap='YlOrBr',\n", " norm=LogNorm(vmax=0.05),\n", " extent=(start, end, end, start)\n", ")\n", "\n", "# colorbar kwargs\n", "colorbar_kwargs = dict(fraction=0.046, label='corrected frequencies')\n", "\n", "# compute heatmap for the region\n", "region_matrix = clr.matrix(balance=True).fetch(region)\n", "for diag in [-1,0,1]:\n", " region_matrix = fill_diag(region_matrix, np.nan, i=diag)\n", "\n", "# see viz.ipynb for details of heatmap visualization\n", "f, ax = plt.subplots(figsize=(7,7))\n", "im = ax.matshow( region_matrix, **matshow_kwargs)\n", "format_ticks(ax, rotate=False)\n", "plt.colorbar(im, ax=ax, **colorbar_kwargs)\n", "\n", "# draw rectangular \"boxes\" around pixels called as dots in the \"region\":\n", "for box in rectangles_around_dots(dots_df, region, lw=1.5):\n", " ax.add_patch(box)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Skipping clustering and cluster enrichment filtering\n", "\n", "Dot-calling returns pixels that are enriched relative to some local background. Such pixels often come in groups (\"clusters\"). By default `dots()` picks a single representative for each cluster (i.e. centroid). However, *cooltools* users can easily turn clustering off for debugging or alternative clustering approaches:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:root:Using recommended donut-based kernels with w=5, p=2 for binsize=10000\n", "INFO:root: matrix 9314X9314 to be split into 361 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 14907X14907 to be split into 900 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 2472X2472 to be split into 25 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 5855X5855 to be split into 144 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root:convolving 186 tiles to build histograms for lambda-bins\n", "INFO:root:creating a Pool of 4 workers to tackle 186 tiles\n", "INFO:root:Done building histograms in 25.523 sec ...\n", "INFO:root:Determined thresholds for every lambda-bin ...\n", "INFO:root:convolving 186 tiles to extract enriched pixels\n", "INFO:root:creating a Pool of 4 workers to tackle 186 tiles\n", "INFO:root:Done extracting enriched pixels in 23.327 sec ...\n", "INFO:root:Begin post-processing of 15303 filtered pixels\n", "INFO:root:preparing to extract needed q-values ...\n" ] } ], "source": [ "dots_df_all = cooltools.dots(\n", " clr,\n", " expected=expected,\n", " view_df=hg38_arms,\n", " max_loci_separation=10_000_000,\n", " clustering_radius=None, # None - implies no clustering\n", " cluster_filtering=False, # ignored when clustering is off\n", " nproc=4,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The visualization below compares clustered dots (cyan) with all enriched pixels before clustering (blue)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(figsize=(7,7))\n", "# draw heatmap\n", "im = ax.matshow(region_matrix, **matshow_kwargs)\n", "format_ticks(ax, rotate=False)\n", "plt.colorbar(im, ax=ax, **colorbar_kwargs)\n", "\n", "# draw rectangular \"boxes\" around pixels called as dots in the \"region\":\n", "for rect in chain(\n", " rectangles_around_dots(dots_df, region, lw=1.5), # clustered & filtered\n", " rectangles_around_dots(dots_df_all, region, loc=\"lower\", ec=\"blue\"), # unclustered\n", " ):\n", " ax.add_patch(rect)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Convolution kernels and local expected\n", "\n", "A useful local background to calculate the enrichment of pixels was defined in [Rao et al. 2014](https://doi.org/10.1016/j.cell.2014.11.021) as a \"donut\"-shaped surrounding of a given pixel between ~20 to ~50 kb away from that pixel.\n", "\n", "Such a local surrounding is best thought of in the terms of convolutional kernels e.g. as in [image processing](https://en.wikipedia.org/wiki/Kernel_(image_processing)). In this framework, calcluating the local background for all pixels is simply obtained as the convolution of a contact map with the \"donut\"-shaped kernel. \n", "\n", "Additional kernels can be used to downweight unwanted enrichment types. In addition to the \"donut\" kernel, the default kernels recommended in cooltools `dots()` are:\n", " - \"vertical\" to avoid calling pixels that are part of vertical stripes as dots\n", " - \"horizontal\" to avoid calling pixels that are part of horizontal stripes as dots\n", " - \"lowleft\" to avoid calling pixels at the corners of domains as dots\n", " \n", "These four kernels are illustrated below, where pixels that are included in the calculations are highlighted in yellow, the pixel of interest is highlighted in red, and pixels that are not included in the local background are in purple. A checkerboard pattern is overlayed on the figure to emphasize individual pixels." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# function to draw kernels:\n", "def draw_kernel(kernel, axis=None, cmap='viridis'):\n", " if axis is None:\n", " f, axis = plt.subplots()\n", " # kernel:\n", " imk = axis.imshow(\n", " kernel[::-1,::-1], # flip it, as in convolution\n", " alpha=0.85,\n", " cmap=cmap,\n", " interpolation='nearest')\n", " # draw a square around the target pixel:\n", " x0 = kernel.shape[0] // 2 - 0.5\n", " y0 = kernel.shape[1] // 2 - 0.5\n", " rect = patches.Rectangle((x0, y0), 1, 1, lw=1, ec='r', fc='r')\n", " axis.add_patch(rect)\n", "\n", " # clean axis:\n", " axis.set_xticks([])\n", " axis.set_yticks([])\n", " axis.set_xticklabels('',visible=False)\n", " axis.set_yticklabels('',visible=False)\n", " axis.set_title(\"{} kernel\".format(ktype),fontsize=16)\n", " # add a checkerboard to highlight pixels:\n", " checkerboard = np.add.outer(range(kernel.shape[0]),\n", " range(kernel.shape[1])) % 2\n", " # show it:\n", " axis.imshow(checkerboard,\n", " cmap='gray',\n", " interpolation='nearest',\n", " alpha=0.3)\n", "\n", " return imk" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:root:Using recommended donut-based kernels with w=5, p=2 for binsize=10000\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "kernels = cooltools.api.dotfinder.recommend_kernels(binsize)\n", "\n", "fig, axs = plt.subplots(ncols=4, figsize=(12,2.5))\n", "for ax, (ktype, kernel) in zip(axs, kernels.items()):\n", " imk = draw_kernel(kernel, ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Calling dots with a \"rounded donut\" kernel\n", "\n", "*Cooltools* enables experimentation and modification of kernels used for determining local enrichment scores. Here we show the result for replacing the default \"donut\" kernel with a \"rounded donut\". " ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create a grid of coordinates from -5 to 5, to define round kernels\n", "# see https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html for details\n", "half = 5 # half width of the kernel\n", "x, y = np.meshgrid(\n", " np.linspace(-half, half, 2*half + 1),\n", " np.linspace(-half, half, 2*half + 1),\n", ")\n", "# now define a donut-like mask as pixels between 2 radii: sqrt(7) and sqrt(30):\n", "mask = (x**2+y**2 > 7) & (x**2+y**2 <= 30)\n", "mask[:,half] = 0\n", "mask[half,:] = 0\n", "\n", "# lowleft mask - zero out neccessary parts\n", "mask_ll = mask.copy()\n", "mask_ll[:,:half] = 0\n", "mask_ll[half:,:] = 0\n", "\n", "# new kernels with more round donut and lowleft masks:\n", "kernels_round = {'donut': mask,\n", " 'vertical': kernels[\"vertical\"].copy(),\n", " 'horizontal': kernels[\"horizontal\"].copy(),\n", " 'lowleft': mask_ll}\n", "\n", "# plot rounded kernels\n", "fig, axs = plt.subplots(ncols=4, figsize=(12,2.5))\n", "for ax, (ktype, kernel) in zip(axs, kernels_round.items()):\n", " imk = draw_kernel(kernel, ax)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/geofffudenberg/anaconda3/envs/open2c/lib/python3.9/site-packages/cooltools/api/dotfinder.py:1571: UserWarning: Compatibility checks for 'kernels' are not fully implemented yet, use at your own risk\n", " warnings.warn(\n", "INFO:root: matrix 9314X9314 to be split into 361 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 14907X14907 to be split into 900 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 2472X2472 to be split into 25 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root: matrix 5855X5855 to be split into 144 tiles of 500X500.\n", "INFO:root: tiles are padded (width=5) to enable convolution near the edges\n", "INFO:root:convolving 186 tiles to build histograms for lambda-bins\n", "INFO:root:creating a Pool of 4 workers to tackle 186 tiles\n", "INFO:root:Done building histograms in 33.029 sec ...\n", "INFO:root:Determined thresholds for every lambda-bin ...\n", "INFO:root:convolving 186 tiles to extract enriched pixels\n", "INFO:root:creating a Pool of 4 workers to tackle 186 tiles\n", "INFO:root:Done extracting enriched pixels in 23.135 sec ...\n", "INFO:root:Begin post-processing of 16716 filtered pixels\n", "INFO:root:preparing to extract needed q-values ...\n" ] } ], "source": [ "#### call dots using redefined kernels (without clustering) \n", "\n", "dots_round_df_all = cooltools.dots(\n", " clr,\n", " expected=expected,\n", " view_df=hg38_arms,\n", " kernels=kernels_round, # provide custom kernels\n", " max_loci_separation=10_000_000,\n", " clustering_radius=None,\n", " nproc=4,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The visualization below compares dots called using \"rounded\" kernels (cyan) with the dots called using recommended kernels (blue). As one can tell the results are similar, yet the \"rounded\" kernels allow for calling dots closer to the diagonal because of the shape of the kernel." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(figsize=(7,7))\n", "# draw heatmap\n", "im = ax.matshow(region_matrix, **matshow_kwargs)\n", "format_ticks(ax, rotate=False)\n", "plt.colorbar(im, ax=ax, **colorbar_kwargs)\n", "\n", "# draw rectangular \"boxes\" around pixels called as dots in the \"region\":\n", "for rect in chain(\n", " rectangles_around_dots(dots_round_df_all, region),\n", " rectangles_around_dots(dots_df_all, region, loc=\"lower\", ec=\"blue\"),\n", " ):\n", " ax.add_patch(rect)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "# TODO CTCF-based analysis to look" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 4 }