{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scipy.stats\n",
    "from matplotlib import rc\n",
    "import seaborn as sns\n",
    "rc('font',**{'family':'serif','serif':['Arial']})\n",
    "plt.rcParams['pdf.fonttype'] = 42"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "TS_rpkm=pd.read_csv('2019-12-11_RNAseq/TS_rpkm.csv',index_col=0)\n",
    "NTS_rpkm=pd.read_csv('2019-12-11_RNAseq/NTS_rpkm.csv',index_col=0)\n",
    "joined=TS_rpkm.join(NTS_rpkm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "L187R_NTS=NTS_rpkm[(NTS_rpkm['bm02_NTS']/NTS_rpkm['bm01_NTS']>2) & (NTS_rpkm['bm02_NTS']/NTS_rpkm['bm01_NTS']<=4) ]\n",
    "L187R_NTS2=NTS_rpkm[NTS_rpkm['bm02_NTS']/NTS_rpkm['bm01_NTS']>4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bm01_NTS</th>\n",
       "      <th>bm02_NTS</th>\n",
       "      <th>bm03_NTS</th>\n",
       "      <th>bm04_NTS</th>\n",
       "      <th>bm05_NTS</th>\n",
       "      <th>bm06_NTS</th>\n",
       "      <th>bm07_NTS</th>\n",
       "      <th>bm08_NTS</th>\n",
       "      <th>bm09_NTS</th>\n",
       "      <th>bm10_NTS</th>\n",
       "      <th>bm11_NTS</th>\n",
       "      <th>bm12_NTS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>aaeB</th>\n",
       "      <td>0.151995</td>\n",
       "      <td>0.440346</td>\n",
       "      <td>1.629708</td>\n",
       "      <td>1.603285</td>\n",
       "      <td>0.803554</td>\n",
       "      <td>0.440519</td>\n",
       "      <td>3.492165</td>\n",
       "      <td>1.035073</td>\n",
       "      <td>2.167498</td>\n",
       "      <td>1.658221</td>\n",
       "      <td>1.649347</td>\n",
       "      <td>0.792721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aat</th>\n",
       "      <td>0.212340</td>\n",
       "      <td>0.442923</td>\n",
       "      <td>0.403471</td>\n",
       "      <td>0.407239</td>\n",
       "      <td>0.164280</td>\n",
       "      <td>0.289606</td>\n",
       "      <td>1.910506</td>\n",
       "      <td>0.304424</td>\n",
       "      <td>0.946260</td>\n",
       "      <td>0.706748</td>\n",
       "      <td>1.112356</td>\n",
       "      <td>0.325719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgA</th>\n",
       "      <td>0.038038</td>\n",
       "      <td>0.105791</td>\n",
       "      <td>0.185852</td>\n",
       "      <td>0.175082</td>\n",
       "      <td>0.147141</td>\n",
       "      <td>0.077818</td>\n",
       "      <td>1.980093</td>\n",
       "      <td>0.190865</td>\n",
       "      <td>0.237311</td>\n",
       "      <td>0.211005</td>\n",
       "      <td>0.341591</td>\n",
       "      <td>0.245060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgB</th>\n",
       "      <td>0.137935</td>\n",
       "      <td>0.455559</td>\n",
       "      <td>0.870524</td>\n",
       "      <td>0.396812</td>\n",
       "      <td>0.747008</td>\n",
       "      <td>0.634928</td>\n",
       "      <td>2.426711</td>\n",
       "      <td>0.469663</td>\n",
       "      <td>0.676156</td>\n",
       "      <td>0.994719</td>\n",
       "      <td>1.316132</td>\n",
       "      <td>1.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgR</th>\n",
       "      <td>1.152436</td>\n",
       "      <td>3.624904</td>\n",
       "      <td>5.407376</td>\n",
       "      <td>1.768172</td>\n",
       "      <td>0.382113</td>\n",
       "      <td>0.392945</td>\n",
       "      <td>5.977997</td>\n",
       "      <td>3.068379</td>\n",
       "      <td>4.450895</td>\n",
       "      <td>2.009199</td>\n",
       "      <td>0.862443</td>\n",
       "      <td>0.707111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ytiA</th>\n",
       "      <td>0.775551</td>\n",
       "      <td>2.022166</td>\n",
       "      <td>2.052567</td>\n",
       "      <td>1.784881</td>\n",
       "      <td>0.750019</td>\n",
       "      <td>1.983292</td>\n",
       "      <td>4.485814</td>\n",
       "      <td>0.972893</td>\n",
       "      <td>1.555254</td>\n",
       "      <td>2.366216</td>\n",
       "      <td>1.523538</td>\n",
       "      <td>3.390518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ytjA</th>\n",
       "      <td>0.309498</td>\n",
       "      <td>0.860781</td>\n",
       "      <td>1.512211</td>\n",
       "      <td>1.068434</td>\n",
       "      <td>0.239447</td>\n",
       "      <td>0.316588</td>\n",
       "      <td>2.088504</td>\n",
       "      <td>0.443715</td>\n",
       "      <td>0.275846</td>\n",
       "      <td>0.343375</td>\n",
       "      <td>1.389705</td>\n",
       "      <td>1.139409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ytjC</th>\n",
       "      <td>0.693141</td>\n",
       "      <td>2.623920</td>\n",
       "      <td>6.397097</td>\n",
       "      <td>7.532984</td>\n",
       "      <td>1.370436</td>\n",
       "      <td>1.654378</td>\n",
       "      <td>54.791754</td>\n",
       "      <td>5.962382</td>\n",
       "      <td>10.914018</td>\n",
       "      <td>7.006552</td>\n",
       "      <td>12.362893</td>\n",
       "      <td>6.946521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipA</th>\n",
       "      <td>0.151610</td>\n",
       "      <td>0.351384</td>\n",
       "      <td>0.164615</td>\n",
       "      <td>0.174460</td>\n",
       "      <td>0.234590</td>\n",
       "      <td>0.155083</td>\n",
       "      <td>0.146153</td>\n",
       "      <td>0.398489</td>\n",
       "      <td>0.360334</td>\n",
       "      <td>0.336410</td>\n",
       "      <td>0.170189</td>\n",
       "      <td>0.232562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zwf</th>\n",
       "      <td>0.135130</td>\n",
       "      <td>0.469782</td>\n",
       "      <td>0.660247</td>\n",
       "      <td>0.349867</td>\n",
       "      <td>0.209090</td>\n",
       "      <td>0.103669</td>\n",
       "      <td>1.074695</td>\n",
       "      <td>0.556976</td>\n",
       "      <td>0.662403</td>\n",
       "      <td>0.487244</td>\n",
       "      <td>0.492992</td>\n",
       "      <td>0.621847</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1364 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           bm01_NTS  bm02_NTS  bm03_NTS  bm04_NTS  bm05_NTS  bm06_NTS  \\\n",
       "Gene name                                                               \n",
       "aaeB       0.151995  0.440346  1.629708  1.603285  0.803554  0.440519   \n",
       "aat        0.212340  0.442923  0.403471  0.407239  0.164280  0.289606   \n",
       "abgA       0.038038  0.105791  0.185852  0.175082  0.147141  0.077818   \n",
       "abgB       0.137935  0.455559  0.870524  0.396812  0.747008  0.634928   \n",
       "abgR       1.152436  3.624904  5.407376  1.768172  0.382113  0.392945   \n",
       "...             ...       ...       ...       ...       ...       ...   \n",
       "ytiA       0.775551  2.022166  2.052567  1.784881  0.750019  1.983292   \n",
       "ytjA       0.309498  0.860781  1.512211  1.068434  0.239447  0.316588   \n",
       "ytjC       0.693141  2.623920  6.397097  7.532984  1.370436  1.654378   \n",
       "zipA       0.151610  0.351384  0.164615  0.174460  0.234590  0.155083   \n",
       "zwf        0.135130  0.469782  0.660247  0.349867  0.209090  0.103669   \n",
       "\n",
       "            bm07_NTS  bm08_NTS   bm09_NTS  bm10_NTS   bm11_NTS  bm12_NTS  \n",
       "Gene name                                                                 \n",
       "aaeB        3.492165  1.035073   2.167498  1.658221   1.649347  0.792721  \n",
       "aat         1.910506  0.304424   0.946260  0.706748   1.112356  0.325719  \n",
       "abgA        1.980093  0.190865   0.237311  0.211005   0.341591  0.245060  \n",
       "abgB        2.426711  0.469663   0.676156  0.994719   1.316132  1.015612  \n",
       "abgR        5.977997  3.068379   4.450895  2.009199   0.862443  0.707111  \n",
       "...              ...       ...        ...       ...        ...       ...  \n",
       "ytiA        4.485814  0.972893   1.555254  2.366216   1.523538  3.390518  \n",
       "ytjA        2.088504  0.443715   0.275846  0.343375   1.389705  1.139409  \n",
       "ytjC       54.791754  5.962382  10.914018  7.006552  12.362893  6.946521  \n",
       "zipA        0.146153  0.398489   0.360334  0.336410   0.170189  0.232562  \n",
       "zwf         1.074695  0.556976   0.662403  0.487244   0.492992  0.621847  \n",
       "\n",
       "[1364 rows x 12 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L187R_NTS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.log2(NTS_rpkm['bm01_NTS'].tolist())\n",
    "y=np.log2(NTS_rpkm['bm02_NTS'].tolist())\n",
    "\n",
    "m=np.log2(L187R_NTS['bm01_NTS'].tolist())\n",
    "z=np.log2(L187R_NTS['bm02_NTS'].tolist())\n",
    "\n",
    "j=np.log2(L187R_NTS2['bm01_NTS'].tolist())\n",
    "k=np.log2(L187R_NTS2['bm02_NTS'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_style(\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "ax.scatter(x,y,c='grey',alpha=0.2,s=15)\n",
    "#ax.scatter(m,z,alpha=0.8,c='orange',edgecolor='black',label='>2-fold increase',s=20)\n",
    "ax.scatter(j,k,alpha=0.6,c='blue',edgecolor='grey',label='>4-fold transcription increase',s=15)\n",
    "ax.scatter(m,z,alpha=0.5,c='orange',edgecolor='grey',label='>2-fold transcription increase',s=15)\n",
    "lims = [\n",
    "    np.min([ax.get_xlim(), ax.get_ylim()]),  # min of both axes\n",
    "    np.max([ax.get_xlim(), ax.get_ylim()]),  # max of both axes\n",
    "    ]\n",
    "ax.plot([-6,6], [-6,6], 'k-', alpha=1)\n",
    "ax.legend(fancybox=True,fontsize=12,loc=4)\n",
    "ax.set_ylabel('log2(Rho-L187R NTS RPKM)',fontsize=14)\n",
    "ax.set_xlabel('log2(WT NTS RPKM)',fontsize=14)\n",
    "plt.ylim(-6,6)\n",
    "plt.xlim(-6,6)\n",
    "\n",
    "for label in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    label.set_fontsize(12)\n",
    "#plt.savefig(\"L187R_NTS_rnaseq_2-4fold_2.png\",bbox_inches='tight',transparent=True,dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "D210G_NTS=NTS_rpkm[(NTS_rpkm['bm06_NTS']/NTS_rpkm['bm01_NTS']>2) & (NTS_rpkm['bm06_NTS']/NTS_rpkm['bm01_NTS']<=4) ]\n",
    "D210G_NTS2=NTS_rpkm[NTS_rpkm['bm06_NTS']/NTS_rpkm['bm01_NTS']>4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "x2=np.log2(NTS_rpkm['bm01_NTS'].tolist())\n",
    "y2=np.log2(NTS_rpkm['bm06_NTS'].tolist())\n",
    "\n",
    "m2=np.log2(D210G_NTS['bm01_NTS'].tolist())\n",
    "z2=np.log2(D210G_NTS['bm06_NTS'].tolist())\n",
    "\n",
    "j2=np.log2(D210G_NTS2['bm01_NTS'].tolist())\n",
    "k2=np.log2(D210G_NTS2['bm06_NTS'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "ax.scatter(x2,y2,c='grey',alpha=0.2,s=15)\n",
    "#ax.scatter(m2,z2,alpha=0.7,c='orange',edgecolor='black',label='>2-fold increase',s=20)\n",
    "ax.scatter(j2,k2,alpha=0.6,c='blue',edgecolor='grey',label='>4-fold transcription increase',s=15)\n",
    "ax.scatter(m2,z2,alpha=0.5,c='orange',edgecolor='grey',label='>2-fold transcription increase',s=15)\n",
    "lims = [\n",
    "    np.min([ax.get_xlim(), ax.get_ylim()]),  # min of both axes\n",
    "    np.max([ax.get_xlim(), ax.get_ylim()]),  # max of both axes\n",
    "    ]\n",
    "ax.plot([-6,6], [-6,6], 'k-', alpha=1)\n",
    "ax.legend(fancybox=True,fontsize=12,loc=4)\n",
    "ax.set_ylabel('log2(Rho-D210G NTS RPKM)',fontsize=14)\n",
    "ax.set_xlabel('log2(WT NTS RPKM)',fontsize=14)\n",
    "plt.ylim(-6,6)\n",
    "plt.xlim(-6,6)\n",
    "for label in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    label.set_fontsize(12)\n",
    "#plt.savefig(\"D210G_NTS_rnaseq_2-4fold_2.png\",bbox_inches='tight',transparent=True,dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bm01_NTS</th>\n",
       "      <th>bm02_NTS</th>\n",
       "      <th>bm03_NTS</th>\n",
       "      <th>bm04_NTS</th>\n",
       "      <th>bm05_NTS</th>\n",
       "      <th>bm06_NTS</th>\n",
       "      <th>bm07_NTS</th>\n",
       "      <th>bm08_NTS</th>\n",
       "      <th>bm09_NTS</th>\n",
       "      <th>bm10_NTS</th>\n",
       "      <th>bm11_NTS</th>\n",
       "      <th>bm12_NTS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>aaeX</th>\n",
       "      <td>3.681955</td>\n",
       "      <td>4.949493</td>\n",
       "      <td>9.394829</td>\n",
       "      <td>7.908869</td>\n",
       "      <td>13.863157</td>\n",
       "      <td>15.316286</td>\n",
       "      <td>11.358169</td>\n",
       "      <td>3.695077</td>\n",
       "      <td>8.969736</td>\n",
       "      <td>12.527273</td>\n",
       "      <td>18.737051</td>\n",
       "      <td>11.973617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgB</th>\n",
       "      <td>0.137935</td>\n",
       "      <td>0.455559</td>\n",
       "      <td>0.870524</td>\n",
       "      <td>0.396812</td>\n",
       "      <td>0.747008</td>\n",
       "      <td>0.634928</td>\n",
       "      <td>2.426711</td>\n",
       "      <td>0.469663</td>\n",
       "      <td>0.676156</td>\n",
       "      <td>0.994719</td>\n",
       "      <td>1.316132</td>\n",
       "      <td>1.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abpB</th>\n",
       "      <td>0.204871</td>\n",
       "      <td>1.820165</td>\n",
       "      <td>5.079160</td>\n",
       "      <td>3.981532</td>\n",
       "      <td>1.215175</td>\n",
       "      <td>1.071104</td>\n",
       "      <td>27.912869</td>\n",
       "      <td>6.771777</td>\n",
       "      <td>9.251473</td>\n",
       "      <td>2.904336</td>\n",
       "      <td>3.986274</td>\n",
       "      <td>2.786451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actP</th>\n",
       "      <td>0.030218</td>\n",
       "      <td>0.189095</td>\n",
       "      <td>0.590579</td>\n",
       "      <td>0.347722</td>\n",
       "      <td>0.561081</td>\n",
       "      <td>0.401830</td>\n",
       "      <td>2.738233</td>\n",
       "      <td>0.584849</td>\n",
       "      <td>0.996490</td>\n",
       "      <td>0.804610</td>\n",
       "      <td>0.644498</td>\n",
       "      <td>0.750911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ada</th>\n",
       "      <td>0.046832</td>\n",
       "      <td>0.097687</td>\n",
       "      <td>0.343232</td>\n",
       "      <td>0.269452</td>\n",
       "      <td>0.217393</td>\n",
       "      <td>0.239523</td>\n",
       "      <td>0.993217</td>\n",
       "      <td>0.234994</td>\n",
       "      <td>0.125219</td>\n",
       "      <td>0.259790</td>\n",
       "      <td>0.630853</td>\n",
       "      <td>0.387924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ytfI</th>\n",
       "      <td>0.159368</td>\n",
       "      <td>2.068445</td>\n",
       "      <td>7.137863</td>\n",
       "      <td>2.017267</td>\n",
       "      <td>0.575388</td>\n",
       "      <td>1.249812</td>\n",
       "      <td>36.410772</td>\n",
       "      <td>4.264965</td>\n",
       "      <td>14.488066</td>\n",
       "      <td>2.770064</td>\n",
       "      <td>3.995400</td>\n",
       "      <td>2.737983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ytfQ</th>\n",
       "      <td>0.052123</td>\n",
       "      <td>0.217446</td>\n",
       "      <td>0.933796</td>\n",
       "      <td>0.299892</td>\n",
       "      <td>0.241952</td>\n",
       "      <td>0.373216</td>\n",
       "      <td>2.411829</td>\n",
       "      <td>0.261541</td>\n",
       "      <td>0.418096</td>\n",
       "      <td>0.289139</td>\n",
       "      <td>0.585100</td>\n",
       "      <td>0.335804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zinT</th>\n",
       "      <td>0.153320</td>\n",
       "      <td>1.492463</td>\n",
       "      <td>13.484271</td>\n",
       "      <td>9.791788</td>\n",
       "      <td>0.652401</td>\n",
       "      <td>0.627330</td>\n",
       "      <td>198.497835</td>\n",
       "      <td>11.924678</td>\n",
       "      <td>48.988893</td>\n",
       "      <td>2.041233</td>\n",
       "      <td>13.338491</td>\n",
       "      <td>3.316119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zraR</th>\n",
       "      <td>0.075214</td>\n",
       "      <td>0.313779</td>\n",
       "      <td>0.704367</td>\n",
       "      <td>0.432749</td>\n",
       "      <td>0.261856</td>\n",
       "      <td>0.346215</td>\n",
       "      <td>1.848917</td>\n",
       "      <td>0.512198</td>\n",
       "      <td>0.837946</td>\n",
       "      <td>0.542403</td>\n",
       "      <td>0.379940</td>\n",
       "      <td>0.311510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zupT</th>\n",
       "      <td>0.322310</td>\n",
       "      <td>1.434265</td>\n",
       "      <td>4.619450</td>\n",
       "      <td>4.747368</td>\n",
       "      <td>1.845260</td>\n",
       "      <td>3.099118</td>\n",
       "      <td>63.198182</td>\n",
       "      <td>3.511837</td>\n",
       "      <td>9.881907</td>\n",
       "      <td>2.002504</td>\n",
       "      <td>14.182896</td>\n",
       "      <td>8.068726</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>540 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           bm01_NTS  bm02_NTS   bm03_NTS  bm04_NTS   bm05_NTS   bm06_NTS  \\\n",
       "Gene name                                                                  \n",
       "aaeX       3.681955  4.949493   9.394829  7.908869  13.863157  15.316286   \n",
       "abgB       0.137935  0.455559   0.870524  0.396812   0.747008   0.634928   \n",
       "abpB       0.204871  1.820165   5.079160  3.981532   1.215175   1.071104   \n",
       "actP       0.030218  0.189095   0.590579  0.347722   0.561081   0.401830   \n",
       "ada        0.046832  0.097687   0.343232  0.269452   0.217393   0.239523   \n",
       "...             ...       ...        ...       ...        ...        ...   \n",
       "ytfI       0.159368  2.068445   7.137863  2.017267   0.575388   1.249812   \n",
       "ytfQ       0.052123  0.217446   0.933796  0.299892   0.241952   0.373216   \n",
       "zinT       0.153320  1.492463  13.484271  9.791788   0.652401   0.627330   \n",
       "zraR       0.075214  0.313779   0.704367  0.432749   0.261856   0.346215   \n",
       "zupT       0.322310  1.434265   4.619450  4.747368   1.845260   3.099118   \n",
       "\n",
       "             bm07_NTS   bm08_NTS   bm09_NTS   bm10_NTS   bm11_NTS   bm12_NTS  \n",
       "Gene name                                                                     \n",
       "aaeX        11.358169   3.695077   8.969736  12.527273  18.737051  11.973617  \n",
       "abgB         2.426711   0.469663   0.676156   0.994719   1.316132   1.015612  \n",
       "abpB        27.912869   6.771777   9.251473   2.904336   3.986274   2.786451  \n",
       "actP         2.738233   0.584849   0.996490   0.804610   0.644498   0.750911  \n",
       "ada          0.993217   0.234994   0.125219   0.259790   0.630853   0.387924  \n",
       "...               ...        ...        ...        ...        ...        ...  \n",
       "ytfI        36.410772   4.264965  14.488066   2.770064   3.995400   2.737983  \n",
       "ytfQ         2.411829   0.261541   0.418096   0.289139   0.585100   0.335804  \n",
       "zinT       198.497835  11.924678  48.988893   2.041233  13.338491   3.316119  \n",
       "zraR         1.848917   0.512198   0.837946   0.542403   0.379940   0.311510  \n",
       "zupT        63.198182   3.511837   9.881907   2.002504  14.182896   8.068726  \n",
       "\n",
       "[540 rows x 12 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D210G_NTS2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bm01_NTS</th>\n",
       "      <th>bm02_NTS</th>\n",
       "      <th>bm03_NTS</th>\n",
       "      <th>bm04_NTS</th>\n",
       "      <th>bm05_NTS</th>\n",
       "      <th>bm06_NTS</th>\n",
       "      <th>bm07_NTS</th>\n",
       "      <th>bm08_NTS</th>\n",
       "      <th>bm09_NTS</th>\n",
       "      <th>bm10_NTS</th>\n",
       "      <th>bm11_NTS</th>\n",
       "      <th>bm12_NTS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>aaeB</th>\n",
       "      <td>0.151995</td>\n",
       "      <td>0.440346</td>\n",
       "      <td>1.629708</td>\n",
       "      <td>1.603285</td>\n",
       "      <td>0.803554</td>\n",
       "      <td>0.440519</td>\n",
       "      <td>3.492165</td>\n",
       "      <td>1.035073</td>\n",
       "      <td>2.167498</td>\n",
       "      <td>1.658221</td>\n",
       "      <td>1.649347</td>\n",
       "      <td>0.792721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aat</th>\n",
       "      <td>0.212340</td>\n",
       "      <td>0.442923</td>\n",
       "      <td>0.403471</td>\n",
       "      <td>0.407239</td>\n",
       "      <td>0.164280</td>\n",
       "      <td>0.289606</td>\n",
       "      <td>1.910506</td>\n",
       "      <td>0.304424</td>\n",
       "      <td>0.946260</td>\n",
       "      <td>0.706748</td>\n",
       "      <td>1.112356</td>\n",
       "      <td>0.325719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgA</th>\n",
       "      <td>0.038038</td>\n",
       "      <td>0.105791</td>\n",
       "      <td>0.185852</td>\n",
       "      <td>0.175082</td>\n",
       "      <td>0.147141</td>\n",
       "      <td>0.077818</td>\n",
       "      <td>1.980093</td>\n",
       "      <td>0.190865</td>\n",
       "      <td>0.237311</td>\n",
       "      <td>0.211005</td>\n",
       "      <td>0.341591</td>\n",
       "      <td>0.245060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgB</th>\n",
       "      <td>0.137935</td>\n",
       "      <td>0.455559</td>\n",
       "      <td>0.870524</td>\n",
       "      <td>0.396812</td>\n",
       "      <td>0.747008</td>\n",
       "      <td>0.634928</td>\n",
       "      <td>2.426711</td>\n",
       "      <td>0.469663</td>\n",
       "      <td>0.676156</td>\n",
       "      <td>0.994719</td>\n",
       "      <td>1.316132</td>\n",
       "      <td>1.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgR</th>\n",
       "      <td>1.152436</td>\n",
       "      <td>3.624904</td>\n",
       "      <td>5.407376</td>\n",
       "      <td>1.768172</td>\n",
       "      <td>0.382113</td>\n",
       "      <td>0.392945</td>\n",
       "      <td>5.977997</td>\n",
       "      <td>3.068379</td>\n",
       "      <td>4.450895</td>\n",
       "      <td>2.009199</td>\n",
       "      <td>0.862443</td>\n",
       "      <td>0.707111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>znuB</th>\n",
       "      <td>0.444336</td>\n",
       "      <td>1.853696</td>\n",
       "      <td>3.773465</td>\n",
       "      <td>2.045223</td>\n",
       "      <td>1.276847</td>\n",
       "      <td>0.844099</td>\n",
       "      <td>17.562056</td>\n",
       "      <td>2.775623</td>\n",
       "      <td>7.071836</td>\n",
       "      <td>4.366332</td>\n",
       "      <td>2.778966</td>\n",
       "      <td>2.453721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zraR</th>\n",
       "      <td>0.075214</td>\n",
       "      <td>0.313779</td>\n",
       "      <td>0.704367</td>\n",
       "      <td>0.432749</td>\n",
       "      <td>0.261856</td>\n",
       "      <td>0.346215</td>\n",
       "      <td>1.848917</td>\n",
       "      <td>0.512198</td>\n",
       "      <td>0.837946</td>\n",
       "      <td>0.542403</td>\n",
       "      <td>0.379940</td>\n",
       "      <td>0.311510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zupT</th>\n",
       "      <td>0.322310</td>\n",
       "      <td>1.434265</td>\n",
       "      <td>4.619450</td>\n",
       "      <td>4.747368</td>\n",
       "      <td>1.845260</td>\n",
       "      <td>3.099118</td>\n",
       "      <td>63.198182</td>\n",
       "      <td>3.511837</td>\n",
       "      <td>9.881907</td>\n",
       "      <td>2.002504</td>\n",
       "      <td>14.182896</td>\n",
       "      <td>8.068726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zur</th>\n",
       "      <td>0.870800</td>\n",
       "      <td>8.005685</td>\n",
       "      <td>8.036742</td>\n",
       "      <td>4.230861</td>\n",
       "      <td>0.973131</td>\n",
       "      <td>0.791776</td>\n",
       "      <td>46.636495</td>\n",
       "      <td>15.119922</td>\n",
       "      <td>16.298454</td>\n",
       "      <td>5.582013</td>\n",
       "      <td>5.756480</td>\n",
       "      <td>2.315323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zwf</th>\n",
       "      <td>0.135130</td>\n",
       "      <td>0.469782</td>\n",
       "      <td>0.660247</td>\n",
       "      <td>0.349867</td>\n",
       "      <td>0.209090</td>\n",
       "      <td>0.103669</td>\n",
       "      <td>1.074695</td>\n",
       "      <td>0.556976</td>\n",
       "      <td>0.662403</td>\n",
       "      <td>0.487244</td>\n",
       "      <td>0.492992</td>\n",
       "      <td>0.621847</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2213 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           bm01_NTS  bm02_NTS  bm03_NTS  bm04_NTS  bm05_NTS  bm06_NTS  \\\n",
       "Gene name                                                               \n",
       "aaeB       0.151995  0.440346  1.629708  1.603285  0.803554  0.440519   \n",
       "aat        0.212340  0.442923  0.403471  0.407239  0.164280  0.289606   \n",
       "abgA       0.038038  0.105791  0.185852  0.175082  0.147141  0.077818   \n",
       "abgB       0.137935  0.455559  0.870524  0.396812  0.747008  0.634928   \n",
       "abgR       1.152436  3.624904  5.407376  1.768172  0.382113  0.392945   \n",
       "...             ...       ...       ...       ...       ...       ...   \n",
       "znuB       0.444336  1.853696  3.773465  2.045223  1.276847  0.844099   \n",
       "zraR       0.075214  0.313779  0.704367  0.432749  0.261856  0.346215   \n",
       "zupT       0.322310  1.434265  4.619450  4.747368  1.845260  3.099118   \n",
       "zur        0.870800  8.005685  8.036742  4.230861  0.973131  0.791776   \n",
       "zwf        0.135130  0.469782  0.660247  0.349867  0.209090  0.103669   \n",
       "\n",
       "            bm07_NTS   bm08_NTS   bm09_NTS  bm10_NTS   bm11_NTS  bm12_NTS  \n",
       "Gene name                                                                  \n",
       "aaeB        3.492165   1.035073   2.167498  1.658221   1.649347  0.792721  \n",
       "aat         1.910506   0.304424   0.946260  0.706748   1.112356  0.325719  \n",
       "abgA        1.980093   0.190865   0.237311  0.211005   0.341591  0.245060  \n",
       "abgB        2.426711   0.469663   0.676156  0.994719   1.316132  1.015612  \n",
       "abgR        5.977997   3.068379   4.450895  2.009199   0.862443  0.707111  \n",
       "...              ...        ...        ...       ...        ...       ...  \n",
       "znuB       17.562056   2.775623   7.071836  4.366332   2.778966  2.453721  \n",
       "zraR        1.848917   0.512198   0.837946  0.542403   0.379940  0.311510  \n",
       "zupT       63.198182   3.511837   9.881907  2.002504  14.182896  8.068726  \n",
       "zur        46.636495  15.119922  16.298454  5.582013   5.756480  2.315323  \n",
       "zwf         1.074695   0.556976   0.662403  0.487244   0.492992  0.621847  \n",
       "\n",
       "[2213 rows x 12 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L187R_NTS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "L187R_NTS3=NTS_rpkm[NTS_rpkm['bm02_NTS']/NTS_rpkm['bm01_NTS']>2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "x3=np.log2(NTS_rpkm['bm01_NTS'].tolist())\n",
    "y3=np.log2(NTS_rpkm['bm02_NTS'].tolist())\n",
    "\n",
    "m3=np.log2(L187R_NTS3['bm01_NTS'].tolist())\n",
    "z3=np.log2(L187R_NTS3['bm02_NTS'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "ax.scatter(x3,y3,c='grey',alpha=0.2,s=15)\n",
    "ax.scatter(m3,z3,alpha=0.7,c='blue',edgecolor='grey',label='>2-fold transcription increase',s=15)\n",
    "#ax.scatter(j2,k2,alpha=0.7,c='red',edgecolor='black',label='>4-fold increase')\n",
    "lims = [\n",
    "    np.min([ax.get_xlim(), ax.get_ylim()]),  # min of both axes\n",
    "    np.max([ax.get_xlim(), ax.get_ylim()]),  # max of both axes\n",
    "    ]\n",
    "ax.plot([-6,6], [-6,6], 'k-', alpha=1)\n",
    "ax.legend(fancybox=True,fontsize=12,loc=4)\n",
    "ax.set_ylabel('log2(Rho-L187R NTS RPKM)',fontsize=14)\n",
    "ax.set_xlabel('log2(WT NTS RPKM)',fontsize=14)\n",
    "plt.ylim(-6,6)\n",
    "plt.xlim(-6,6)\n",
    "for label in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    label.set_fontsize(12)\n",
    "#plt.savefig(\"L187R_NTS_rnaseq_2fold_2.png\",bbox_inches='tight',transparent=True,dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bm01_NTS</th>\n",
       "      <th>bm02_NTS</th>\n",
       "      <th>bm03_NTS</th>\n",
       "      <th>bm04_NTS</th>\n",
       "      <th>bm05_NTS</th>\n",
       "      <th>bm06_NTS</th>\n",
       "      <th>bm07_NTS</th>\n",
       "      <th>bm08_NTS</th>\n",
       "      <th>bm09_NTS</th>\n",
       "      <th>bm10_NTS</th>\n",
       "      <th>bm11_NTS</th>\n",
       "      <th>bm12_NTS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>aaeB</th>\n",
       "      <td>0.151995</td>\n",
       "      <td>0.440346</td>\n",
       "      <td>1.629708</td>\n",
       "      <td>1.603285</td>\n",
       "      <td>0.803554</td>\n",
       "      <td>0.440519</td>\n",
       "      <td>3.492165</td>\n",
       "      <td>1.035073</td>\n",
       "      <td>2.167498</td>\n",
       "      <td>1.658221</td>\n",
       "      <td>1.649347</td>\n",
       "      <td>0.792721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aat</th>\n",
       "      <td>0.212340</td>\n",
       "      <td>0.442923</td>\n",
       "      <td>0.403471</td>\n",
       "      <td>0.407239</td>\n",
       "      <td>0.164280</td>\n",
       "      <td>0.289606</td>\n",
       "      <td>1.910506</td>\n",
       "      <td>0.304424</td>\n",
       "      <td>0.946260</td>\n",
       "      <td>0.706748</td>\n",
       "      <td>1.112356</td>\n",
       "      <td>0.325719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgA</th>\n",
       "      <td>0.038038</td>\n",
       "      <td>0.105791</td>\n",
       "      <td>0.185852</td>\n",
       "      <td>0.175082</td>\n",
       "      <td>0.147141</td>\n",
       "      <td>0.077818</td>\n",
       "      <td>1.980093</td>\n",
       "      <td>0.190865</td>\n",
       "      <td>0.237311</td>\n",
       "      <td>0.211005</td>\n",
       "      <td>0.341591</td>\n",
       "      <td>0.245060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgB</th>\n",
       "      <td>0.137935</td>\n",
       "      <td>0.455559</td>\n",
       "      <td>0.870524</td>\n",
       "      <td>0.396812</td>\n",
       "      <td>0.747008</td>\n",
       "      <td>0.634928</td>\n",
       "      <td>2.426711</td>\n",
       "      <td>0.469663</td>\n",
       "      <td>0.676156</td>\n",
       "      <td>0.994719</td>\n",
       "      <td>1.316132</td>\n",
       "      <td>1.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abgR</th>\n",
       "      <td>1.152436</td>\n",
       "      <td>3.624904</td>\n",
       "      <td>5.407376</td>\n",
       "      <td>1.768172</td>\n",
       "      <td>0.382113</td>\n",
       "      <td>0.392945</td>\n",
       "      <td>5.977997</td>\n",
       "      <td>3.068379</td>\n",
       "      <td>4.450895</td>\n",
       "      <td>2.009199</td>\n",
       "      <td>0.862443</td>\n",
       "      <td>0.707111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>znuB</th>\n",
       "      <td>0.444336</td>\n",
       "      <td>1.853696</td>\n",
       "      <td>3.773465</td>\n",
       "      <td>2.045223</td>\n",
       "      <td>1.276847</td>\n",
       "      <td>0.844099</td>\n",
       "      <td>17.562056</td>\n",
       "      <td>2.775623</td>\n",
       "      <td>7.071836</td>\n",
       "      <td>4.366332</td>\n",
       "      <td>2.778966</td>\n",
       "      <td>2.453721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zraR</th>\n",
       "      <td>0.075214</td>\n",
       "      <td>0.313779</td>\n",
       "      <td>0.704367</td>\n",
       "      <td>0.432749</td>\n",
       "      <td>0.261856</td>\n",
       "      <td>0.346215</td>\n",
       "      <td>1.848917</td>\n",
       "      <td>0.512198</td>\n",
       "      <td>0.837946</td>\n",
       "      <td>0.542403</td>\n",
       "      <td>0.379940</td>\n",
       "      <td>0.311510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zupT</th>\n",
       "      <td>0.322310</td>\n",
       "      <td>1.434265</td>\n",
       "      <td>4.619450</td>\n",
       "      <td>4.747368</td>\n",
       "      <td>1.845260</td>\n",
       "      <td>3.099118</td>\n",
       "      <td>63.198182</td>\n",
       "      <td>3.511837</td>\n",
       "      <td>9.881907</td>\n",
       "      <td>2.002504</td>\n",
       "      <td>14.182896</td>\n",
       "      <td>8.068726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zur</th>\n",
       "      <td>0.870800</td>\n",
       "      <td>8.005685</td>\n",
       "      <td>8.036742</td>\n",
       "      <td>4.230861</td>\n",
       "      <td>0.973131</td>\n",
       "      <td>0.791776</td>\n",
       "      <td>46.636495</td>\n",
       "      <td>15.119922</td>\n",
       "      <td>16.298454</td>\n",
       "      <td>5.582013</td>\n",
       "      <td>5.756480</td>\n",
       "      <td>2.315323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zwf</th>\n",
       "      <td>0.135130</td>\n",
       "      <td>0.469782</td>\n",
       "      <td>0.660247</td>\n",
       "      <td>0.349867</td>\n",
       "      <td>0.209090</td>\n",
       "      <td>0.103669</td>\n",
       "      <td>1.074695</td>\n",
       "      <td>0.556976</td>\n",
       "      <td>0.662403</td>\n",
       "      <td>0.487244</td>\n",
       "      <td>0.492992</td>\n",
       "      <td>0.621847</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2213 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           bm01_NTS  bm02_NTS  bm03_NTS  bm04_NTS  bm05_NTS  bm06_NTS  \\\n",
       "Gene name                                                               \n",
       "aaeB       0.151995  0.440346  1.629708  1.603285  0.803554  0.440519   \n",
       "aat        0.212340  0.442923  0.403471  0.407239  0.164280  0.289606   \n",
       "abgA       0.038038  0.105791  0.185852  0.175082  0.147141  0.077818   \n",
       "abgB       0.137935  0.455559  0.870524  0.396812  0.747008  0.634928   \n",
       "abgR       1.152436  3.624904  5.407376  1.768172  0.382113  0.392945   \n",
       "...             ...       ...       ...       ...       ...       ...   \n",
       "znuB       0.444336  1.853696  3.773465  2.045223  1.276847  0.844099   \n",
       "zraR       0.075214  0.313779  0.704367  0.432749  0.261856  0.346215   \n",
       "zupT       0.322310  1.434265  4.619450  4.747368  1.845260  3.099118   \n",
       "zur        0.870800  8.005685  8.036742  4.230861  0.973131  0.791776   \n",
       "zwf        0.135130  0.469782  0.660247  0.349867  0.209090  0.103669   \n",
       "\n",
       "            bm07_NTS   bm08_NTS   bm09_NTS  bm10_NTS   bm11_NTS  bm12_NTS  \n",
       "Gene name                                                                  \n",
       "aaeB        3.492165   1.035073   2.167498  1.658221   1.649347  0.792721  \n",
       "aat         1.910506   0.304424   0.946260  0.706748   1.112356  0.325719  \n",
       "abgA        1.980093   0.190865   0.237311  0.211005   0.341591  0.245060  \n",
       "abgB        2.426711   0.469663   0.676156  0.994719   1.316132  1.015612  \n",
       "abgR        5.977997   3.068379   4.450895  2.009199   0.862443  0.707111  \n",
       "...              ...        ...        ...       ...        ...       ...  \n",
       "znuB       17.562056   2.775623   7.071836  4.366332   2.778966  2.453721  \n",
       "zraR        1.848917   0.512198   0.837946  0.542403   0.379940  0.311510  \n",
       "zupT       63.198182   3.511837   9.881907  2.002504  14.182896  8.068726  \n",
       "zur        46.636495  15.119922  16.298454  5.582013   5.756480  2.315323  \n",
       "zwf         1.074695   0.556976   0.662403  0.487244   0.492992  0.621847  \n",
       "\n",
       "[2213 rows x 12 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L187R_NTS3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "L187R_TS=TS_rpkm[(TS_rpkm['bm02_TS']/TS_rpkm['bm01_TS']>2) & (TS_rpkm['bm02_TS']/TS_rpkm['bm01_TS']<=4) ]\n",
    "L187R_TS2=TS_rpkm[TS_rpkm['bm02_TS']/TS_rpkm['bm01_TS']>4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "x4=np.log2(TS_rpkm['bm01_TS'].tolist())\n",
    "y4=np.log2(TS_rpkm['bm02_TS'].tolist())\n",
    "\n",
    "m4=np.log2(L187R_TS['bm01_TS'].tolist())\n",
    "z4=np.log2(L187R_TS['bm02_TS'].tolist())\n",
    "\n",
    "j4=np.log2(L187R_TS2['bm01_TS'].tolist())\n",
    "k4=np.log2(L187R_TS2['bm02_TS'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "ax.scatter(x4,y4,c='grey',alpha=0.2,s=15)\n",
    "#ax.scatter(m4,z4,alpha=0.7,c='orange',edgecolor='black',label='>2-fold increase',s=20)\n",
    "ax.scatter(j4,k4,alpha=0.6,c='blue',edgecolor='grey',label='>4-fold transcription increase',s=15)\n",
    "ax.scatter(m4,z4,alpha=0.5,c='orange',edgecolor='grey',label='>2-fold transcription increase',s=15)\n",
    "lims = [\n",
    "    np.min([ax.get_xlim(), ax.get_ylim()]),  # min of both axes\n",
    "    np.max([ax.get_xlim(), ax.get_ylim()]),  # max of both axes\n",
    "    ]\n",
    "ax.plot([-6,12.5], [-6,12.5], 'k-', alpha=1)\n",
    "ax.legend(fancybox=True,fontsize=12,loc=4)\n",
    "ax.set_ylabel('log2(Rho-L187R TS RPKM)',fontsize=14)\n",
    "ax.set_xlabel('log2(WT TS RPKM)',fontsize=14)\n",
    "plt.ylim(-6,12.5)\n",
    "plt.xlim(-6,12.5)\n",
    "for label in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    label.set_fontsize(12)\n",
    "#plt.savefig(\"L187R_TS_rnaseq_2-4fold_2.png\",bbox_inches='tight',transparent=True,dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "D210G_TS=TS_rpkm[(TS_rpkm['bm06_TS']/TS_rpkm['bm01_TS']>2) & (TS_rpkm['bm06_TS']/TS_rpkm['bm01_TS']<=4) ]\n",
    "D210G_TS2=TS_rpkm[TS_rpkm['bm06_TS']/TS_rpkm['bm01_TS']>4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "x5=np.log2(TS_rpkm['bm01_TS'].tolist())\n",
    "y5=np.log2(TS_rpkm['bm06_TS'].tolist())\n",
    "\n",
    "m5=np.log2(D210G_TS['bm01_TS'].tolist())\n",
    "z5=np.log2(D210G_TS['bm06_TS'].tolist())\n",
    "\n",
    "j5=np.log2(D210G_TS2['bm01_TS'].tolist())\n",
    "k5=np.log2(D210G_TS2['bm06_TS'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "ax.scatter(x5,y5,c='grey',alpha=0.2,s=15)\n",
    "ax.scatter(j5,k5,alpha=0.6,c='blue',edgecolor='grey',label='>4-fold transcription increase',s=15)\n",
    "ax.scatter(m5,z5,alpha=0.5,c='orange',edgecolor='grey',label='>2-fold transcription increase',s=15)\n",
    "lims = [\n",
    "    np.min([ax.get_xlim(), ax.get_ylim()]),  # min of both axes\n",
    "    np.max([ax.get_xlim(), ax.get_ylim()]),  # max of both axes\n",
    "    ]\n",
    "ax.plot([-6,12.5], [-6,12.5], 'k-', alpha=1)\n",
    "ax.legend(fancybox=True,fontsize=12,loc=4)\n",
    "ax.set_ylabel('log2(Rho-D210G TS RPKM)',fontsize=14)\n",
    "ax.set_xlabel('log2(WT TS RPKM)',fontsize=14)\n",
    "plt.ylim(-6,12.5)\n",
    "plt.xlim(-6,12.5)\n",
    "for label in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    label.set_fontsize(12)\n",
    "#plt.savefig(\"D210G_TS_rnaseq_2-4fold_2.png\",bbox_inches='tight',transparent=True,dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bm01_NTS</th>\n",
       "      <th>bm02_NTS</th>\n",
       "      <th>bm03_NTS</th>\n",
       "      <th>bm04_NTS</th>\n",
       "      <th>bm05_NTS</th>\n",
       "      <th>bm06_NTS</th>\n",
       "      <th>bm07_NTS</th>\n",
       "      <th>bm08_NTS</th>\n",
       "      <th>bm09_NTS</th>\n",
       "      <th>bm10_NTS</th>\n",
       "      <th>bm11_NTS</th>\n",
       "      <th>bm12_NTS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>aaeA</th>\n",
       "      <td>0.801971</td>\n",
       "      <td>0.929358</td>\n",
       "      <td>1.480301</td>\n",
       "      <td>1.230457</td>\n",
       "      <td>2.812732</td>\n",
       "      <td>1.640684</td>\n",
       "      <td>2.989339</td>\n",
       "      <td>0.613203</td>\n",
       "      <td>1.572497</td>\n",
       "      <td>1.423607</td>\n",
       "      <td>2.400670</td>\n",
       "      <td>1.968292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaeB</th>\n",
       "      <td>0.151995</td>\n",
       "      <td>0.440346</td>\n",
       "      <td>1.629708</td>\n",
       "      <td>1.603285</td>\n",
       "      <td>0.803554</td>\n",
       "      <td>0.440519</td>\n",
       "      <td>3.492165</td>\n",
       "      <td>1.035073</td>\n",
       "      <td>2.167498</td>\n",
       "      <td>1.658221</td>\n",
       "      <td>1.649347</td>\n",
       "      <td>0.792721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaeR</th>\n",
       "      <td>2.467320</td>\n",
       "      <td>2.834371</td>\n",
       "      <td>11.138111</td>\n",
       "      <td>12.838078</td>\n",
       "      <td>7.718494</td>\n",
       "      <td>4.937948</td>\n",
       "      <td>65.202237</td>\n",
       "      <td>4.344732</td>\n",
       "      <td>19.408955</td>\n",
       "      <td>16.721890</td>\n",
       "      <td>20.893063</td>\n",
       "      <td>12.094723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaeX</th>\n",
       "      <td>3.681955</td>\n",
       "      <td>4.949493</td>\n",
       "      <td>9.394829</td>\n",
       "      <td>7.908869</td>\n",
       "      <td>13.863157</td>\n",
       "      <td>15.316286</td>\n",
       "      <td>11.358169</td>\n",
       "      <td>3.695077</td>\n",
       "      <td>8.969736</td>\n",
       "      <td>12.527273</td>\n",
       "      <td>18.737051</td>\n",
       "      <td>11.973617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aas</th>\n",
       "      <td>0.207718</td>\n",
       "      <td>0.320949</td>\n",
       "      <td>0.808170</td>\n",
       "      <td>0.929539</td>\n",
       "      <td>0.892797</td>\n",
       "      <td>0.779078</td>\n",
       "      <td>3.537591</td>\n",
       "      <td>0.397063</td>\n",
       "      <td>0.822809</td>\n",
       "      <td>0.870605</td>\n",
       "      <td>1.139957</td>\n",
       "      <td>1.125820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zraR</th>\n",
       "      <td>0.075214</td>\n",
       "      <td>0.313779</td>\n",
       "      <td>0.704367</td>\n",
       "      <td>0.432749</td>\n",
       "      <td>0.261856</td>\n",
       "      <td>0.346215</td>\n",
       "      <td>1.848917</td>\n",
       "      <td>0.512198</td>\n",
       "      <td>0.837946</td>\n",
       "      <td>0.542403</td>\n",
       "      <td>0.379940</td>\n",
       "      <td>0.311510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zraS</th>\n",
       "      <td>0.107006</td>\n",
       "      <td>0.198405</td>\n",
       "      <td>0.755204</td>\n",
       "      <td>0.246268</td>\n",
       "      <td>0.331146</td>\n",
       "      <td>0.291886</td>\n",
       "      <td>1.581702</td>\n",
       "      <td>0.153411</td>\n",
       "      <td>0.540436</td>\n",
       "      <td>0.751886</td>\n",
       "      <td>0.600597</td>\n",
       "      <td>0.295455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zupT</th>\n",
       "      <td>0.322310</td>\n",
       "      <td>1.434265</td>\n",
       "      <td>4.619450</td>\n",
       "      <td>4.747368</td>\n",
       "      <td>1.845260</td>\n",
       "      <td>3.099118</td>\n",
       "      <td>63.198182</td>\n",
       "      <td>3.511837</td>\n",
       "      <td>9.881907</td>\n",
       "      <td>2.002504</td>\n",
       "      <td>14.182896</td>\n",
       "      <td>8.068726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zur</th>\n",
       "      <td>0.870800</td>\n",
       "      <td>8.005685</td>\n",
       "      <td>8.036742</td>\n",
       "      <td>4.230861</td>\n",
       "      <td>0.973131</td>\n",
       "      <td>0.791776</td>\n",
       "      <td>46.636495</td>\n",
       "      <td>15.119922</td>\n",
       "      <td>16.298454</td>\n",
       "      <td>5.582013</td>\n",
       "      <td>5.756480</td>\n",
       "      <td>2.315323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zwf</th>\n",
       "      <td>0.135130</td>\n",
       "      <td>0.469782</td>\n",
       "      <td>0.660247</td>\n",
       "      <td>0.349867</td>\n",
       "      <td>0.209090</td>\n",
       "      <td>0.103669</td>\n",
       "      <td>1.074695</td>\n",
       "      <td>0.556976</td>\n",
       "      <td>0.662403</td>\n",
       "      <td>0.487244</td>\n",
       "      <td>0.492992</td>\n",
       "      <td>0.621847</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4419 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           bm01_NTS  bm02_NTS   bm03_NTS   bm04_NTS   bm05_NTS   bm06_NTS  \\\n",
       "Gene name                                                                   \n",
       "aaeA       0.801971  0.929358   1.480301   1.230457   2.812732   1.640684   \n",
       "aaeB       0.151995  0.440346   1.629708   1.603285   0.803554   0.440519   \n",
       "aaeR       2.467320  2.834371  11.138111  12.838078   7.718494   4.937948   \n",
       "aaeX       3.681955  4.949493   9.394829   7.908869  13.863157  15.316286   \n",
       "aas        0.207718  0.320949   0.808170   0.929539   0.892797   0.779078   \n",
       "...             ...       ...        ...        ...        ...        ...   \n",
       "zraR       0.075214  0.313779   0.704367   0.432749   0.261856   0.346215   \n",
       "zraS       0.107006  0.198405   0.755204   0.246268   0.331146   0.291886   \n",
       "zupT       0.322310  1.434265   4.619450   4.747368   1.845260   3.099118   \n",
       "zur        0.870800  8.005685   8.036742   4.230861   0.973131   0.791776   \n",
       "zwf        0.135130  0.469782   0.660247   0.349867   0.209090   0.103669   \n",
       "\n",
       "            bm07_NTS   bm08_NTS   bm09_NTS   bm10_NTS   bm11_NTS   bm12_NTS  \n",
       "Gene name                                                                    \n",
       "aaeA        2.989339   0.613203   1.572497   1.423607   2.400670   1.968292  \n",
       "aaeB        3.492165   1.035073   2.167498   1.658221   1.649347   0.792721  \n",
       "aaeR       65.202237   4.344732  19.408955  16.721890  20.893063  12.094723  \n",
       "aaeX       11.358169   3.695077   8.969736  12.527273  18.737051  11.973617  \n",
       "aas         3.537591   0.397063   0.822809   0.870605   1.139957   1.125820  \n",
       "...              ...        ...        ...        ...        ...        ...  \n",
       "zraR        1.848917   0.512198   0.837946   0.542403   0.379940   0.311510  \n",
       "zraS        1.581702   0.153411   0.540436   0.751886   0.600597   0.295455  \n",
       "zupT       63.198182   3.511837   9.881907   2.002504  14.182896   8.068726  \n",
       "zur        46.636495  15.119922  16.298454   5.582013   5.756480   2.315323  \n",
       "zwf         1.074695   0.556976   0.662403   0.487244   0.492992   0.621847  \n",
       "\n",
       "[4419 rows x 12 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NTS_rpkm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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