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Last active May 20, 2019 14:26
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Simple Gene track plot from Ensembl mart export
from matplotlib.collections import LineCollection
from matplotlib.colors import to_rgb
from matplotlib import pyplot as plt
import numpy as np
def draw_DNA_helix(bp=50, major_groove=22, minor_groove=12, bp_per_turn=10.5,
fig_height=1.5, colors=('red', 'black'), savefig=None, fig_format='png'):
"""
major groove is 22A minor is 12A (B-DNA) https://doi.org/10.1038%2F287755a0
:param 50 bp: number of base-pairs to draw
:param 22 major_groove: in Angstroms, length of major groove in the helix.
:param 12 minor_groove: in Angstroms, length of minor groove in the helix.
:param 10.5 bp_per_turn: default is for B-DNA described by Watson and Crick
:param ('red', 'black') colors: colors of each strand
:param None savefig: path to store figure
:param 'png' fig_format: format of the saved figure
:returns: matplotlib axe object
"""
length = bp / 10 * 2 * np.pi
offset = (minor_groove + major_groove) / (2 * minor_groove)
# create random base pairs
xb = np.arange(0.1, length, 2 * np.pi / bp_per_turn)
yu = np.sin(xb)
yd = np.sin(xb + np.pi / offset)
r1, g1, b1 = to_rgb(colors[0])
r2, g2, b2 = to_rgb(colors[1])
colors = []
segments = []
for xx, yb, yt in zip(xb, yu, yd):
if yt > yb:
colors.extend([(r1, g1, b1, 0.5), (r2, g2, b2, 0.5)])
yt, yb = yb, yt
else:
colors.extend([(r2, g2, b2, 0.5), (r1, g1, b1, 0.5)])
diff = (yb - yt) / 3
if np.random.random() > 0.5:
segments.append([[xx, yt], [xx, yb - diff]])
segments.append([[xx, yt + 2 * diff], [xx, yb]])
else:
segments.append([[xx, yt], [xx, yb - diff * 2]])
segments.append([[xx, yt + diff], [xx, yb]])
lc0 = LineCollection(segments, linewidths=1, colors=colors)
# create DNA strands
xd = np.linspace(0, length, 100 * bp)
y1 = np.sin(xd)
y2 = np.sin(xd + np.pi / offset)
# create + strand
div = fig_height * 3
lw1 = fig_height * (2 + np.sin(xd + 2 * np.pi / offset - 0.05 * fig_height))
points1 = np.array([xd, y1]).T.reshape(-1, 1, 2)
segments1 = np.concatenate([points1[:-1], points1[1:]], axis=1)
lc1 = LineCollection(segments1, linewidths=lw1,
colors=[(r1, g1, b1, v / div) for v in lw1])
# create - strand
lw2 = fig_height * (2 + np.sin(xd + np.pi / offset / 2))
points2 = np.array([xd, y2]).T.reshape(-1, 1, 2)
segments2 = np.concatenate([points2[:-1], points2[1:]], axis=1)
lc2 = LineCollection(segments2, linewidths=lw2,
colors=[(r2, g2, b2, v / div) for v in lw2])
# plot
_, axe = plt.subplots(figsize=(1 + bp * 0.2, fig_height))
axe.add_collection(lc0)
axe.add_collection(lc1)
axe.add_collection(lc2)
axe.set_xlim(0, length)
axe.set_ylim(-1.2, 1.2)
_ = axe.axis('off')
if not savefig is None:
plt.savefig(savefig, format=fig_format)
return axe
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"metadata": {
"toc": true
},
"cell_type": "markdown",
"source": "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Download-gene/exon-positions-from-Ensembl-biomart\" data-toc-modified-id=\"Download-gene/exon-positions-from-Ensembl-biomart-1\">Download gene/exon positions from Ensembl biomart</a></span></li><li><span><a href=\"#Library\" data-toc-modified-id=\"Library-2\">Library</a></span><ul class=\"toc-item\"><li><span><a href=\"#Parse-genes\" data-toc-modified-id=\"Parse-genes-2.1\">Parse genes</a></span></li><li><span><a href=\"#Plot-region\" data-toc-modified-id=\"Plot-region-2.2\">Plot region</a></span></li></ul></li><li><span><a href=\"#Result\" data-toc-modified-id=\"Result-3\">Result</a></span><ul class=\"toc-item\"><li><span><a href=\"#parse-genes\" data-toc-modified-id=\"parse-genes-3.1\">parse genes</a></span></li><li><span><a href=\"#Plot-region\" data-toc-modified-id=\"Plot-region-3.2\">Plot region</a></span></li></ul></li></ul></div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "from matplotlib import pyplot as plt\nfrom matplotlib.patches import FancyBboxPatch\nfrom matplotlib.ticker import FuncFormatter",
"execution_count": 1,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Download gene/exon positions from Ensembl biomart"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "xml = '''\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<!DOCTYPE Query>\n<Query virtualSchemaName = \"default\" formatter = \"TSV\" header = \"1\" uniqueRows = \"0\" count = \"\" datasetConfigVersion = \"0.6\" >\n\t\t\t\n\t<Dataset name = \"hsapiens_gene_ensembl\" interface = \"default\" >\n\t\t<Attribute name = \"ensembl_gene_id\" />\n\t\t<Attribute name = \"ensembl_transcript_id\" />\n\t\t<Attribute name = \"strand\" />\n\t\t<Attribute name = \"chromosome_name\" />\n\t\t<Attribute name = \"start_position\" />\n\t\t<Attribute name = \"end_position\" />\n\t\t<Attribute name = \"cds_start\" />\n\t\t<Attribute name = \"cds_end\" />\n\t\t<Attribute name = \"exon_chrom_start\" />\n\t\t<Attribute name = \"exon_chrom_end\" />\n\t\t<Attribute name = \"external_gene_name\" />\n\t\t<Attribute name = \"gene_biotype\" />\n\t</Dataset>\n</Query>\n'''\nxml = ''.join(l.strip() for l in xml.split('\\n'))",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "! wget -O result.txt 'http://www.ensembl.org/biomart/martservice?query={xml}'",
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": "--2019-05-20 16:22:52-- http://www.ensembl.org/biomart/martservice?query=%3C?xml+version=%221.0%22+encoding=%22UTF-8%22?%3E%3C!DOCTYPE+Query%3E%3CQuery++virtualSchemaName+=+%22default%22+formatter+=+%22TSV%22+header+=+%221%22+uniqueRows+=+%220%22+count+=+%22%22+datasetConfigVersion+=+%220.6%22+%3E%3CDataset+name+=+%22hsapiens_gene_ensembl%22+interface+=+%22default%22+%3E%3CAttribute+name+=+%22ensembl_gene_id%22+/%3E%3CAttribute+name+=+%22ensembl_transcript_id%22+/%3E%3CAttribute+name+=+%22strand%22+/%3E%3CAttribute+name+=+%22chromosome_name%22+/%3E%3CAttribute+name+=+%22start_position%22+/%3E%3CAttribute+name+=+%22end_position%22+/%3E%3CAttribute+name+=+%22cds_start%22+/%3E%3CAttribute+name+=+%22cds_end%22+/%3E%3CAttribute+name+=+%22exon_chrom_start%22+/%3E%3CAttribute+name+=+%22exon_chrom_end%22+/%3E%3CAttribute+name+=+%22external_gene_name%22+/%3E%3CAttribute+name+=+%22gene_biotype%22+/%3E%3C/Dataset%3E%3C/Query%3E\nResolving www.ensembl.org (www.ensembl.org)... 193.62.193.83\nConnecting to www.ensembl.org (www.ensembl.org)|193.62.193.83|:80... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: unspecified [text/plain]\nSaving to: ‘result.txt’\n\nresult.txt [<=> ] 137.49M 394KB/s in 3m 29s \n\n2019-05-20 16:26:22 (673 KB/s) - ‘result.txt’ saved [144163887]\n\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "! head result.txt",
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": "Gene stable ID\tTranscript stable ID\tStrand\tChromosome/scaffold name\tGene start (bp)\tGene end (bp)\tCDS start\tCDS end\tExon region start (bp)\tExon region end (bp)\tGene name\tGene type\r\nENSG00000210049\tENST00000387314\t1\tMT\t577\t647\t\t\t577\t647\tMT-TF\tMt_tRNA\r\nENSG00000211459\tENST00000389680\t1\tMT\t648\t1601\t\t\t648\t1601\tMT-RNR1\tMt_rRNA\r\nENSG00000210077\tENST00000387342\t1\tMT\t1602\t1670\t\t\t1602\t1670\tMT-TV\tMt_tRNA\r\nENSG00000210082\tENST00000387347\t1\tMT\t1671\t3229\t\t\t1671\t3229\tMT-RNR2\tMt_rRNA\r\nENSG00000209082\tENST00000386347\t1\tMT\t3230\t3304\t\t\t3230\t3304\tMT-TL1\tMt_tRNA\r\nENSG00000198888\tENST00000361390\t1\tMT\t3307\t4262\t1\t956\t3307\t4262\tMT-ND1\tprotein_coding\r\nENSG00000210100\tENST00000387365\t1\tMT\t4263\t4331\t\t\t4263\t4331\tMT-TI\tMt_tRNA\r\nENSG00000210107\tENST00000387372\t-1\tMT\t4329\t4400\t\t\t4329\t4400\tMT-TQ\tMt_tRNA\r\nENSG00000210112\tENST00000387377\t1\tMT\t4402\t4469\t\t\t4402\t4469\tMT-TM\tMt_tRNA\r\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "! cut -f 12 result.txt | sort | uniq -c | sort -hr",
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": "1235668 protein_coding\r\n 49560 lincRNA\r\n 31878 antisense\r\n 18442 processed_transcript\r\n 17969 transcribed_unprocessed_pseudogene\r\n 12529 processed_pseudogene\r\n 10241 unprocessed_pseudogene\r\n 3992 transcribed_unitary_pseudogene\r\n 3106 transcribed_processed_pseudogene\r\n 2397 misc_RNA\r\n 2070 snRNA\r\n 1911 miRNA\r\n 1782 sense_intronic\r\n 1288 polymorphic_pseudogene\r\n 1253 bidirectional_promoter_lncRNA\r\n 1150 TEC\r\n 1029 sense_overlapping\r\n 1020 snoRNA\r\n 514 rRNA_pseudogene\r\n 470 IG_V_gene\r\n 444 IG_V_pseudogene\r\n 320 TR_V_gene\r\n 312 unitary_pseudogene\r\n 156 IG_C_gene\r\n 99 pseudogene\r\n 93 TR_J_gene\r\n 80 3prime_overlapping_ncRNA\r\n 79 TR_V_pseudogene\r\n 74 rRNA\r\n 64 IG_D_gene\r\n 52 scaRNA\r\n 31 TR_C_gene\r\n 24 IG_J_gene\r\n 23 IG_C_pseudogene\r\n 22 Mt_tRNA\r\n 8 ribozyme\r\n 6 sRNA\r\n 6 IG_J_pseudogene\r\n 5 TR_D_gene\r\n 4 TR_J_pseudogene\r\n 3 translated_processed_pseudogene\r\n 2 Mt_rRNA\r\n 1 vaultRNA\r\n 1 scRNA\r\n 1 non_coding\r\n 1 macro_lncRNA\r\n 1 IG_pseudogene\r\n 1 Gene type\r\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Library"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Parse genes"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def read_genes(fnam):\n fh = open(fnam, 'r')\n header = next(fh)\n header = header.strip().split('\\t')\n vtype = {'Gene stable ID': str,\n 'Transcript stable ID': str,\n 'Strand': str,\n 'Chromosome/scaffold name': str,\n 'Gene start (bp)': int,\n 'Gene end (bp)': int,\n 'CDS start': int,\n 'CDS end': int,\n 'Exon region start (bp)': int,\n 'Exon region end (bp)': int,\n 'Gene name': str,\n 'Gene type': str}\n transcripts = {}\n for line in fh:\n tmp = dict(zip(header, line.strip().split('\\t')))\n for k, v in tmp.items():\n try:\n tmp[k] = vtype[k](v)\n except ValueError:\n tmp[k] = float('nan')\n transcripts.setdefault(tmp['Transcript stable ID'], []).append(tmp)\n genes = {}\n for t in transcripts:\n val = sum(tmp['Exon region end (bp)'] - tmp['Exon region start (bp)'] for tmp in transcripts[t])\n if val <= 0:\n break\n genes.setdefault(transcripts[t][0]['Gene stable ID'], []).append((t, val))\n # get longest transcript\n for g in genes:\n t = max(genes[g], key=lambda x: x[1])[0]\n genes[g] = t\n\n good_transcripts = set(genes.values())\n del(genes)\n\n transcripts = dict((t, transcripts[t]) for t in transcripts if t in good_transcripts)\n\n for t in good_transcripts:\n exons = [(tmp['Exon region start (bp)'], tmp['Exon region end (bp)']) for tmp in transcripts[t]]\n transcripts[t] = dict((k, transcripts[t][0][k]) \n for k in ['Gene stable ID', 'Strand', 'Chromosome/scaffold name', \n 'Gene start (bp)', 'Gene end (bp)', 'CDS start', 'CDS end',\n 'Gene name', 'Gene type'])\n transcripts[t]['exons'] = sorted(exons)\n # some filtering...\n# if len(exons) == 1 and (exons[0][1] - exons[0][0]) < 333:\n# del transcripts[t]\n return transcripts",
"execution_count": 6,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Plot region"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def nicer(res, sep=' ', comma='', allowed_decimals=0):\n \"\"\"\n writes resolution number for human beings.\n\n :param ' ' sep: character between number and unit (e.g. default: '125 kb')\n :param '' comma: character to separate groups of thousands\n :param 0 allowed_decimals: if 1 '1900 kb' would be written as '1.9 Mb'\n \"\"\"\n format = lambda x: '{:,g}'.format(x).replace(',', comma)\n\n if not res:\n return format(res) + sep + 'b'\n if not res % 10**(9 - allowed_decimals):\n return format(res / 10.**9) + sep + 'Gb'\n if not res % 10**(6 - allowed_decimals):\n return format(res / 10.**6) + sep + 'Mb'\n if not res % 10**(3 - allowed_decimals):\n return format(res / 10.**3) + sep + 'kb'\n return format(res) + sep + 'b'",
"execution_count": 7,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def get_text_width(txt_obj, renderer, axe):\n bb = txt_obj.get_window_extent(renderer=renderer)\n\n x, y = axe.transData.transform_point((3, 4))\n\n inv = axe.transData.inverted()\n (x1, y1), (x2, y2) = inv.transform(((x, y), (x + bb.width, y + bb.height)))\n return x2 - x1, y2 - y1",
"execution_count": 8,
"outputs": []
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2018-11-13T13:32:46.540345Z",
"start_time": "2018-11-13T13:32:46.079410Z"
},
"trusted": true
},
"cell_type": "code",
"source": "def plot_genes(genes, crm, beg, end, gene_type_color=None, axe=None):\n \"\"\"\n plot genes through their exons/introns.\n \n :param genes: dictionary returned by read_genes function\n :param crm: Chromosome name of the wanted region\n :param beg: start position of the wanted region\n :param end: end position of the wanted region\n :param None axe: Matplotlib Axe object\n \"\"\"\n if not gene_type_color:\n gene_type_color = {'protein_coding' : 'firebrick',\n 'polymorphic' : 'darkred',\n 'processed_transcript' : 'forestgreen',\n 'lncRNA' : 'forestgreen',\n 'non_coding' : 'forestgreen',\n '3prime_overlapping_ncRNA' : 'forestgreen',\n 'antisense' : 'forestgreen',\n 'lincRNA' : 'forestgreen',\n 'retained_intron' : 'forestgreen',\n 'sense_intronic' : 'forestgreen',\n 'sense_overlapping' : 'forestgreen',\n 'macro_lncRNA' : 'forestgreen',\n 'ncRNA' : 'green',\n 'miRNA' : 'green',\n 'misc_RNA' : 'darkgreen',\n 'piRNA' : 'green',\n 'rRNA' : 'green',\n 'sRNA' : 'green',\n 'scRNA' : 'green',\n 'scaRNA' : 'green',\n 'siRNA' : 'green',\n 'snRNA' : 'green',\n 'snoRNA' : 'green',\n 'tRNA' : 'green',\n 'ribozyme' : 'green',\n 'Mt_rRNA' : 'green',\n 'Mt_tRNA' : 'green',\n 'vaultRNA' : 'darkgreen',\n 'rRNA_pseudogene' : 'darkgreen',\n 'unclassified_processed_transcript' : 'steelblue',\n 'pseudogene' : 'steelblue',\n 'processed_pseudogene' : 'steelblue',\n 'unprocessed_pseudogene' : 'steelblue',\n 'bidirectional_promoter_lncRNA' : 'steelblue',\n 'transcribed_pseudogene' : 'steelblue',\n 'transcribed_unprocessed_pseudogene' : 'steelblue',\n 'transcribed_processed_pseudogene' : 'steelblue',\n 'transcribed_unitary_pseudogene' : 'steelblue',\n 'translated_pseudogene' : 'steelblue',\n 'translated_processed_pseudogene' : 'steelblue',\n 'polymorphic_pseudogene' : 'steelblue',\n 'unitary_pseudogene' : 'steelblue',\n 'IG_pseudogene' : 'steelblue',\n 'IG_C_pseudogene' : 'steelblue',\n 'IG_V_pseudogene' : 'steelblue',\n 'IG_J_pseudogene' : 'steelblue',\n 'IG_gene' : 'darkred',\n 'IG_C_gene' : 'darkred',\n 'IG_D_gene' : 'darkred',\n 'IG_V_gene' : 'darkred',\n 'IG_J_gene' : 'darkred',\n 'TR_pseudogene' : 'steelblue',\n 'TR_C_pseudogene' : 'steelblue',\n 'TR_D_pseudogene' : 'steelblue',\n 'TR_V_pseudogene' : 'steelblue',\n 'TR_J_pseudogene' : 'steelblue',\n 'TR_gene' : 'darkred',\n 'TR_C_gene' : 'darkred',\n 'TR_D_gene' : 'darkred',\n 'TR_V_gene' : 'darkred',\n 'TR_J_gene' : 'darkred',\n 'TEC' : 'grey'}\n if not axe:\n fig = plt.figure(figsize=(10, 3))\n axe = plt.subplot(111)\n renderer = fig.canvas.get_renderer()\n else:\n fig = axe.get_figure()\n renderer = fig.canvas.get_renderer()\n\n axe.set_xlim(beg, end)\n \n minimum = float('inf')\n maximum = float('-inf')\n prev_g, prev_e, prev_s = None, None, None\n\n nrows = 1\n \n min_dist = (end - beg) / 500\n\n pos = []\n for g in sorted([g for g in genes if \n genes[g]['Chromosome/scaffold name'] == crm and \n genes[g]['exons'][0][0] >= beg and\n genes[g]['exons'][-1][1] <= end], \n key=lambda x: genes[x]['exons'][0][0]):\n \n begs = tuple([b for b, _ in genes[g]['exons']])\n vs = sorted([b for b, _ in genes[g]['exons']] + [e for _, e in genes[g]['exons']])\n b = vs[0]\n e = vs[-1]\n seen = []\n for bb, ee, nnum in pos:\n if bb <= b <= ee or bb <= e <= ee:\n seen.append(nnum)\n elif e < bb:\n break\n try:\n num = sorted(list(set(seen) ^ set(range(0, max(seen) + 2))))[0]\n except ValueError:\n num = 0\n color = gene_type_color.get(genes[g]['Gene type'], 'red')\n t = axe.text(genes[g]['exons'][0][0], \n num + 0.1, \n genes[g]['Gene name'] + ('>' if genes[g]['Strand'] == '1' else '<'), \n color=color, size=8)\n w, h = get_text_width(t, renderer, axe)\n pos.append((b, max(b + w, e), num))\n for b, e in genes[g]['exons']:\n if prev_g == g:\n if prev_e and min_dist < b - prev_e:\n axe.plot([prev_e, (b + prev_e) / 2., b], \n [num - 0.2, num - 0.05, num - 0.2], color=color, lw=1)\n p_fancy = FancyBboxPatch((b, num - 0.25), e - b, 0.15, alpha=1, \n color=color)\n axe.add_patch(p_fancy)\n p_fancy.set_boxstyle(\"Round\", pad=0.1, rounding_size=0.3)\n\n prev_g, prev_e = g, e\n minimum = min(b, minimum)\n maximum = max(e, maximum)\n try:\n nrows = max(num + 1, nrows)\n except ValueError:\n pass\n axe.set_ylim(-0.5, nrows - 0.5)\n axe.spines['right'].set_visible(False)\n axe.spines['left'].set_visible(False)\n axe.spines['top'].set_visible(False)\n axe.set_yticks([])\n axe.xaxis.grid(alpha=0.3, lw=1.5)\n\n def format_xticks(tickstring, _=None):\n tickstring = int(tickstring + beg)\n return nicer(tickstring if tickstring else 1,\n comma=',', allowed_decimals=1, sep='')\n\n axe.xaxis.set_major_formatter(FuncFormatter(format_xticks))\n\n labels = axe.get_xticklabels()\n plt.setp(labels, rotation=0, ha='center', size=10)\n\n xlabel = '{}: {:,}-{:,}'.format(('' if 'chr' in crm else 'chr') + crm, beg if beg else 1, end)\n axe.set_xlabel(xlabel)\n fig.set_figheight(0.3 + nrows / 3.)",
"execution_count": 9,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Result"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## parse genes"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "fnam = 'result.txt'",
"execution_count": 10,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "genes = read_genes(fnam)",
"execution_count": 11,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Plot region"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2018-11-29T16:49:54.375646Z",
"start_time": "2018-11-29T16:49:51.610699Z"
},
"trusted": true
},
"cell_type": "code",
"source": "plot_genes(genes, '12', 10820000, 11700000)",
"execution_count": 12,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1000x296.667 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2018-11-29T16:49:54.375646Z",
"start_time": "2018-11-29T16:49:51.610699Z"
},
"trusted": true
},
"cell_type": "code",
"source": "plot_genes(genes, '12', 6820000, 7700000)",
"execution_count": 13,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1000x463.333 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2018-11-29T16:49:54.375646Z",
"start_time": "2018-11-29T16:49:51.610699Z"
},
"trusted": true
},
"cell_type": "code",
"source": "plot_genes(genes, '12', 6620000, 6820000)",
"execution_count": 14,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1000x130 with 1 Axes>",
"image/png": 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\n"
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@fransua
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fransua commented Mar 7, 2019

example:

axe = draw_DNA_helix(bp=50)
plt.show()

resulting in:

dna-helix_50bp

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