12-human.ipynb

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   "source": [
    "### Notebook index\n",
    "\n",
    "[3 Minimal examples](03-minimal.ipynb)  \n",
    "[4 Plotting chromosomes](04-plotting.ipynb)   \n",
    "[5 Multiple OTUs](05-multiple.ipynb)    \n",
    "[6 Changing units](06-units.ipynb)  \n",
    "[7 GISH](07-gish.ipynb)  \n",
    "[8 Groups](08-groups.ipynb)  \n",
    "[9 Circular Plots](09-circular.ipynb)  \n",
    "[10 Plotting alongside phylogeny](10-phylogeny.ipynb)  \n",
    "[11 Citrus](11-citrushelp.ipynb)  \n",
    "[12 Human Karyotype](12-human.ipynb)  "
   ]
  },
  {
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   "source": [
    "# Human Karyotype"
   ]
  },
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     "text": [
      "version 2.0.6 See help: ?idiogramFISH - browseVignettes('idiogramFISH') - https://ferroao.gitlab.io/manualidiogramfish\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# install if necessary\n",
    "\n",
    "if (system.file(package = \"idiogramFISH\") == '') {\n",
    "  install.packages(\"idiogramFISH\")\n",
    "}\n",
    "\n",
    "library(idiogramFISH)"
   ]
  },
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   "source": [
    "## Karyotype of 400 bands\n",
    "\n",
    "Organize chr. in rows using column OTU. [@Adler1994]\n"
   ]
  },
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       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>chrName</th><th scope=col>group</th><th scope=col>shortArmSize</th><th scope=col>longArmSize</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1</td><td>A</td><td>5.600</td><td>5.890</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>2</td><td>A</td><td>4.245</td><td>6.715</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>3</td><td>A</td><td>4.220</td><td>4.720</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>4</td><td>B</td><td>2.240</td><td>6.165</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>5</td><td>B</td><td>2.110</td><td>5.920</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>6</td><td>C</td><td>2.880</td><td>4.835</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
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       "A data.frame: 6 × 4\n",
       "\\begin{tabular}{r|llll}\n",
       "  & chrName & group & shortArmSize & longArmSize\\\\\n",
       "  & <chr> & <chr> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 1 & A & 5.600 & 5.890\\\\\n",
       "\t2 & 2 & A & 4.245 & 6.715\\\\\n",
       "\t3 & 3 & A & 4.220 & 4.720\\\\\n",
       "\t4 & 4 & B & 2.240 & 6.165\\\\\n",
       "\t5 & 5 & B & 2.110 & 5.920\\\\\n",
       "\t6 & 6 & C & 2.880 & 4.835\\\\\n",
       "\\end{tabular}\n"
      ],
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       "\n",
       "A data.frame: 6 × 4\n",
       "\n",
       "| <!--/--> | chrName &lt;chr&gt; | group &lt;chr&gt; | shortArmSize &lt;dbl&gt; | longArmSize &lt;dbl&gt; |\n",
       "|---|---|---|---|---|\n",
       "| 1 | 1 | A | 5.600 | 5.890 |\n",
       "| 2 | 2 | A | 4.245 | 6.715 |\n",
       "| 3 | 3 | A | 4.220 | 4.720 |\n",
       "| 4 | 4 | B | 2.240 | 6.165 |\n",
       "| 5 | 5 | B | 2.110 | 5.920 |\n",
       "| 6 | 6 | C | 2.880 | 4.835 |\n",
       "\n"
      ],
      "text/plain": [
       "  chrName group shortArmSize longArmSize\n",
       "1 1       A     5.600        5.890      \n",
       "2 2       A     4.245        6.715      \n",
       "3 3       A     4.220        4.720      \n",
       "4 4       B     2.240        6.165      \n",
       "5 5       B     2.110        5.920      \n",
       "6 6       C     2.880        4.835      "
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   "source": [
    "library(idiogramFISH)\n",
    "# Chromosome sizes for human\n",
    "head(humChr) "
   ]
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    "</div>\n",
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    "</div>\n",
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   "source": [
    "Arrange chr. groups as different OTUs (figure rows)"
   ]
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   "source": [
    "FstRow<-length(which(humChr$group %in% c(\"A\",\"B\") ) )        # groups in 1st row\n",
    "SndRow<-length(which(humChr$group %in% \"C\" ) )               # groups in second row\n",
    "TrdRow<-length(which(humChr$group %in% c(\"D\",\"E\") ) )        # groups in third row\n",
    "FrtRow<-length(which(humChr$group %in% c(\"F\",\"G\",\"sex\") ) )  # groups in forth row\n",
    "\n",
    "OTUdf<-data.frame(OTU=c(rep(\"otu1\",FstRow),\n",
    "                        rep(\"otu2\",SndRow),\n",
    "                        rep(\"otu3\",TrdRow),\n",
    "                        rep(\"otu4\",FrtRow)\n",
    "), stringsAsFactors=FALSE # c\n",
    ") # df\n",
    "\n",
    "OTUdf$chrName<-humChr$chrName\n",
    "\n",
    "humChr$OTU<-OTUdf$OTU"
   ]
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    "</div>\n",
    "\n",
    "Add OTU info. to data.frame of marks' position\n",
    "\n",
    "<div class=\"pre-scrollx\">"
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       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>chrName</th><th scope=col>markName</th><th scope=col>chrRegion</th><th scope=col>markDistCen</th><th scope=col>markSize</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>2</th><td>1</td><td>chr1p36.3</td><td>p</td><td>5.290</td><td>0.310</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1</td><td>chr1p36.2</td><td>p</td><td>5.100</td><td>0.190</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>1</td><td>chr1p36.1</td><td>p</td><td>4.680</td><td>0.420</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>1</td><td>chr1p35  </td><td>p</td><td>4.435</td><td>0.245</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>1</td><td>chr1p34.3</td><td>p</td><td>4.270</td><td>0.165</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>1</td><td>chr1p34.2</td><td>p</td><td>4.110</td><td>0.160</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 5\n",
       "\\begin{tabular}{r|lllll}\n",
       "  & chrName & markName & chrRegion & markDistCen & markSize\\\\\n",
       "  & <chr> & <chr> & <chr> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t2 & 1 & chr1p36.3 & p & 5.290 & 0.310\\\\\n",
       "\t3 & 1 & chr1p36.2 & p & 5.100 & 0.190\\\\\n",
       "\t4 & 1 & chr1p36.1 & p & 4.680 & 0.420\\\\\n",
       "\t5 & 1 & chr1p35   & p & 4.435 & 0.245\\\\\n",
       "\t6 & 1 & chr1p34.3 & p & 4.270 & 0.165\\\\\n",
       "\t7 & 1 & chr1p34.2 & p & 4.110 & 0.160\\\\\n",
       "\\end{tabular}\n"
      ],
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       "\n",
       "A data.frame: 6 × 5\n",
       "\n",
       "| <!--/--> | chrName &lt;chr&gt; | markName &lt;chr&gt; | chrRegion &lt;chr&gt; | markDistCen &lt;dbl&gt; | markSize &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| 2 | 1 | chr1p36.3 | p | 5.290 | 0.310 |\n",
       "| 3 | 1 | chr1p36.2 | p | 5.100 | 0.190 |\n",
       "| 4 | 1 | chr1p36.1 | p | 4.680 | 0.420 |\n",
       "| 5 | 1 | chr1p35   | p | 4.435 | 0.245 |\n",
       "| 6 | 1 | chr1p34.3 | p | 4.270 | 0.165 |\n",
       "| 7 | 1 | chr1p34.2 | p | 4.110 | 0.160 |\n",
       "\n"
      ],
      "text/plain": [
       "  chrName markName  chrRegion markDistCen markSize\n",
       "2 1       chr1p36.3 p         5.290       0.310   \n",
       "3 1       chr1p36.2 p         5.100       0.190   \n",
       "4 1       chr1p36.1 p         4.680       0.420   \n",
       "5 1       chr1p35   p         4.435       0.245   \n",
       "6 1       chr1p34.3 p         4.270       0.165   \n",
       "7 1       chr1p34.2 p         4.110       0.160   "
      ]
     },
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   ],
   "source": [
    "# data.frame with marks' position\n",
    "head(humMarkPos)  "
   ]
  },
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    "</div>\n",
    "\n",
    "<div class=\"verysmall\">"
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    "</div>\n",
    "\n",
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   "source": [
    "humMarkPos$OTU<-OTUdf$OTU[match(humMarkPos$chrName, OTUdf$chrName)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "341c898e",
   "metadata": {},
   "source": [
    "<!-- </div> -->\n",
    "\n",
    "This is the data.frame of mark characteristics\n",
    "\n",
    "<div class=\"pre-scrollx\">"
   ]
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>markName</th><th scope=col>markColor</th><th scope=col>style</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>2</th><td>chr1p36.3</td><td>white</td><td>square</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>chr1p36.2</td><td>black</td><td>square</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>chr1p36.1</td><td>white</td><td>square</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>chr1p35  </td><td>black</td><td>square</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>chr1p34.3</td><td>white</td><td>square</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>chr1p34.2</td><td>black</td><td>square</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & markName & markColor & style\\\\\n",
       "  & <chr> & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t2 & chr1p36.3 & white & square\\\\\n",
       "\t3 & chr1p36.2 & black & square\\\\\n",
       "\t4 & chr1p36.1 & white & square\\\\\n",
       "\t5 & chr1p35   & black & square\\\\\n",
       "\t6 & chr1p34.3 & white & square\\\\\n",
       "\t7 & chr1p34.2 & black & square\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 3\n",
       "\n",
       "| <!--/--> | markName &lt;chr&gt; | markColor &lt;chr&gt; | style &lt;chr&gt; |\n",
       "|---|---|---|---|\n",
       "| 2 | chr1p36.3 | white | square |\n",
       "| 3 | chr1p36.2 | black | square |\n",
       "| 4 | chr1p36.1 | white | square |\n",
       "| 5 | chr1p35   | black | square |\n",
       "| 6 | chr1p34.3 | white | square |\n",
       "| 7 | chr1p34.2 | black | square |\n",
       "\n"
      ],
      "text/plain": [
       "  markName  markColor style \n",
       "2 chr1p36.3 white     square\n",
       "3 chr1p36.2 black     square\n",
       "4 chr1p36.1 white     square\n",
       "5 chr1p35   black     square\n",
       "6 chr1p34.3 white     square\n",
       "7 chr1p34.2 black     square"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(humMarkColor)"
   ]
  },
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    "</div>\n",
    "\n",
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   "metadata": {},
   "source": [
    "### Plot"
   ]
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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1400,
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fig.width=10, fig.height=28\n",
    "par(mar=rep(0,4))\n",
    "\n",
    "options(repr.plot.width = 10, repr.plot.height = 28, repr.plot.res = 100)\n",
    "\n",
    "suppressMessages(\n",
    "plotIdiograms(humChr,                     # data.frame of chromosome size (in package)\n",
    "              dfMarkPos = humMarkPos,     # df of mark positions  (in package)\n",
    "              dfMarkColor = humMarkColor, # df of mark characteristics (in package)\n",
    "              \n",
    "              addOTUName = FALSE,         # do not add name of OTU\n",
    "              karHeight = 6,              # vertical size of kar.\n",
    "              karHeiSpace = 7,            # vertical spacing among OTU\n",
    "              chrWidth = 0.4,             # chr. width\n",
    "              chrSpacing = 0.6,           # space among chr.\n",
    "              classChrName = \"\",          # string for naming chr.\n",
    "              orderChr = \"group\",         # order chr. by group name\n",
    "              \n",
    "              amoSepar = 2,               # reduce distance among OTUs\n",
    "              karIndex = FALSE,           # do not add karyotype indices\n",
    "              distTextChr = 1.5,          # distance from chr. to text.\n",
    "              \n",
    "              chrColor = \"black\",         # chr. color\n",
    "              chrIndex = \"\",              # do not add chromosome indices\n",
    "              morpho = \"\",                # do not add morphological categories\n",
    "              \n",
    "              autoCenSize = F,\n",
    "\n",
    "              centromereSize = 0,         # apparent centromere size\n",
    "              \n",
    "              squareness = 10,            # squareness of chr. and marks\n",
    "              legend = \"inline\",          # mark labels next to chr.\n",
    "              markLabelSize = 0.5,        # size of legend font\n",
    "              colorBorderMark = \"black\",  # force color of border of marks \n",
    "              pattern= \"chr[0-9XY]+\",     # REGEX pattern to remove from name of marks\n",
    "              indexIdTextSize = 2,        # font size of chr name and indices\n",
    "              lwd.chr=.5,                 # width of chr and mark borders\n",
    "              \n",
    "              ruler= FALSE,\n",
    "\n",
    "              xlimRightMod = 0,           # space to the right of karyotype\n",
    "              ylimBotMod = -.6            # modify ylim of bottom\n",
    "              )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7cd66d1",
   "metadata": {},
   "source": [
    "## Robertsonian Translocations\n",
    "\n",
    "This procedure transforms the data of long arms of the chromosomes 13 and 21 from data.frames of chr. and marks in a derivative [@Robertson1916].\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "53d262b0",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# extract 13 data\n",
    "humChr13<-humChr[which(humChr$chrName %in% 13),]\n",
    "humMarkPos13<-humMarkPos[which(humMarkPos$chrName %in% 13),]\n",
    "\n",
    "# extract 21 data\n",
    "humChr21<-humChr[which(humChr$chrName %in% 21),]\n",
    "humMarkPos21<-humMarkPos[which(humMarkPos$chrName %in% 21),]\n",
    "\n",
    "# Making derivative data.frame of Marks\n",
    "\n",
    "# remove p arm from 21\n",
    "humMarkPos21Der<-humMarkPos21[humMarkPos21$chrRegion==\"q\",]\n",
    "humMarkPos21Der$chrRegion<-\"p\"\n",
    "\n",
    "# remove p arm from 13\n",
    "humMarkPos13Der<-humMarkPos13[humMarkPos13$chrRegion==\"q\",]\n",
    "\n",
    "# rename fragments\n",
    "humMarkPos21Der$chrName<-\"t(13;21)\"\n",
    "humMarkPos13Der$chrName<-\"t(13;21)\"\n",
    "\n",
    "# merge fragments of Marks\n",
    "humMarkPosDer<-rbind(humMarkPos21Der,humMarkPos13Der)\n",
    "\n",
    "# Making derivative data.frame of chr. size\n",
    "\n",
    "humChrDer<-humChr13\n",
    "humChrDer$shortArmSize<-humChr21$longArmSize\n",
    "humChrDer$chrName<-\"t(13;21)\"\n",
    "\n",
    "# Make data.frame of chr. to plot\n",
    "humChr1321der<-rbind(humChr13, humChrDer , humChr21)\n",
    "humChr1321der<-humChr1321der[,c(\"chrName\",\"shortArmSize\",\"longArmSize\"),]\n",
    "\n",
    "# marks for them, together:\n",
    "humMarkPos1321Der<-rbind(humMarkPos13, humMarkPos21, humMarkPosDer)\n",
    "humMarkPos1321Der$OTU<-NULL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7063c7b",
   "metadata": {},
   "source": [
    "### plot of t(13;21) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c9070fcb",
   "metadata": {
    "attributes": {
     "": "",
     "classes": [],
     "echo": "TRUE,",
     "fig.height": "6,",
     "fig.width": "6,",
     "id": "",
     "message": "FALSE,",
     "results": "\"hide\",fig.align"
    },
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 450,
       "width": 350
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 7, repr.plot.height = 9, repr.plot.res = 100)\n",
    "\n",
    "suppressMessages(\n",
    "plotIdiograms(humChr1321der,                # data.frame of size of chr.\n",
    "              dfMarkPos = humMarkPos1321Der,# d.f of position of marks\n",
    "              dfMarkColor = humMarkColor,   # d.f of style of marks\n",
    "              \n",
    "              addOTUName = FALSE,          # do not add OTU name\n",
    "              \n",
    "              autoCenSize = FALSE,\n",
    "              \n",
    "              centromereSize=0,            # apparent size of centromere\n",
    "              roundness=5,                 # roundness of vertices of chr. and marks\n",
    "              chrColor = \"black\",          # chr. color\n",
    "              classChrName = \"\",           # string for naming chr.\n",
    "              karHeight = 4,               # karyotype height without spacing\n",
    "              \n",
    "              chrIndex = \"\",               # do not add chr. indices\n",
    "              morpho = \"\",                 # do not add chr. morphology\n",
    "              karIndex = FALSE,            # do not add karyotype indices\n",
    "              distTextChr = 2,             # distance from chr. to text.\n",
    "\n",
    "              markLabelSize = .5,          # font size of chr. mark labels\n",
    "              legend = \"inline\",           # mark labels next to chr.\n",
    "              pattern=\"chr[0-9]+\",         # REGEX pattern to remove from mark names\n",
    "              lwd.chr=.9,                  # width of chr and mark borders\n",
    "              \n",
    "              ruler=FALSE,\n",
    "              \n",
    "              ylimBotMod = -.15            # modify ylim bottom argument\n",
    "              ,asp=1                       # y x aspect ratio\n",
    "              )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5792465",
   "metadata": {},
   "source": [
    "## function `robert`\n",
    "\n",
    "This procedure transforms the data of long arms of the chromosomes 13 and 14 from data.frames of chr. and marks in a derivative [@Robertson1916].\n",
    "\n",
    "We can do any Robertsonian translocation using:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f0cf21d0",
   "metadata": {
    "attributes": {
     "classes": [],
     "id": "",
     "results": "\"hide\""
    },
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 6</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>chrName</th><th scope=col>markName</th><th scope=col>chrRegion</th><th scope=col>markDistCen</th><th scope=col>markSize</th><th scope=col>OTU</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>613</th><td>t(13;14)(q10:q10)</td><td>chr14q11.1</td><td>p</td><td>0.000</td><td>0.125</td><td>otu3</td></tr>\n",
       "\t<tr><th scope=row>713</th><td>t(13;14)(q10:q10)</td><td>chr14q11.2</td><td>p</td><td>0.125</td><td>0.330</td><td>otu3</td></tr>\n",
       "\t<tr><th scope=row>813</th><td>t(13;14)(q10:q10)</td><td>chr14q12  </td><td>p</td><td>0.455</td><td>0.335</td><td>otu3</td></tr>\n",
       "\t<tr><th scope=row>913</th><td>t(13;14)(q10:q10)</td><td>chr14q13  </td><td>p</td><td>0.790</td><td>0.305</td><td>otu3</td></tr>\n",
       "\t<tr><th scope=row>1013</th><td>t(13;14)(q10:q10)</td><td>chr14q21  </td><td>p</td><td>1.095</td><td>0.600</td><td>otu3</td></tr>\n",
       "\t<tr><th scope=row>1113</th><td>t(13;14)(q10:q10)</td><td>chr14q22  </td><td>p</td><td>1.695</td><td>0.330</td><td>otu3</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 6\n",
       "\\begin{tabular}{r|llllll}\n",
       "  & chrName & markName & chrRegion & markDistCen & markSize & OTU\\\\\n",
       "  & <chr> & <chr> & <chr> & <dbl> & <dbl> & <chr>\\\\\n",
       "\\hline\n",
       "\t613 & t(13;14)(q10:q10) & chr14q11.1 & p & 0.000 & 0.125 & otu3\\\\\n",
       "\t713 & t(13;14)(q10:q10) & chr14q11.2 & p & 0.125 & 0.330 & otu3\\\\\n",
       "\t813 & t(13;14)(q10:q10) & chr14q12   & p & 0.455 & 0.335 & otu3\\\\\n",
       "\t913 & t(13;14)(q10:q10) & chr14q13   & p & 0.790 & 0.305 & otu3\\\\\n",
       "\t1013 & t(13;14)(q10:q10) & chr14q21   & p & 1.095 & 0.600 & otu3\\\\\n",
       "\t1113 & t(13;14)(q10:q10) & chr14q22   & p & 1.695 & 0.330 & otu3\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 6\n",
       "\n",
       "| <!--/--> | chrName &lt;chr&gt; | markName &lt;chr&gt; | chrRegion &lt;chr&gt; | markDistCen &lt;dbl&gt; | markSize &lt;dbl&gt; | OTU &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|\n",
       "| 613 | t(13;14)(q10:q10) | chr14q11.1 | p | 0.000 | 0.125 | otu3 |\n",
       "| 713 | t(13;14)(q10:q10) | chr14q11.2 | p | 0.125 | 0.330 | otu3 |\n",
       "| 813 | t(13;14)(q10:q10) | chr14q12   | p | 0.455 | 0.335 | otu3 |\n",
       "| 913 | t(13;14)(q10:q10) | chr14q13   | p | 0.790 | 0.305 | otu3 |\n",
       "| 1013 | t(13;14)(q10:q10) | chr14q21   | p | 1.095 | 0.600 | otu3 |\n",
       "| 1113 | t(13;14)(q10:q10) | chr14q22   | p | 1.695 | 0.330 | otu3 |\n",
       "\n"
      ],
      "text/plain": [
       "     chrName           markName   chrRegion markDistCen markSize OTU \n",
       "613  t(13;14)(q10:q10) chr14q11.1 p         0.000       0.125    otu3\n",
       "713  t(13;14)(q10:q10) chr14q11.2 p         0.125       0.330    otu3\n",
       "813  t(13;14)(q10:q10) chr14q12   p         0.455       0.335    otu3\n",
       "913  t(13;14)(q10:q10) chr14q13   p         0.790       0.305    otu3\n",
       "1013 t(13;14)(q10:q10) chr14q21   p         1.095       0.600    otu3\n",
       "1113 t(13;14)(q10:q10) chr14q22   p         1.695       0.330    otu3"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chrt13q14q<-robert(humChr,humMarkPos,13,14,\"q\",\"q\")\n",
    "\n",
    "# which produces a list of two data.frames:\n",
    "\n",
    "# 1. chr. sizes\n",
    "dfChrSizeDer<-chrt13q14q$dfChrSizeDer\n",
    "# remove the group column\n",
    "dfChrSizeDer<-dfChrSizeDer[ , !(names(dfChrSizeDer) %in% \"group\")]\n",
    "\n",
    "# 2. marks' positions\n",
    "dfMarkPosDer<-chrt13q14q$dfMarkPosDer\n",
    "\n",
    "head(dfMarkPosDer)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf1e80e4",
   "metadata": {},
   "source": [
    "</div>\n",
    "\n",
    "<div class=\"verysmall\">"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a1a83e8",
   "metadata": {},
   "source": [
    "### plot of t(13;14) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8bcf5b1f",
   "metadata": {
    "attributes": {
     "classes": [],
     "echo": "TRUE,",
     "fig.height": "6,",
     "fig.width": "6,",
     "id": "",
     "message": "FALSE,",
     "results": "\"hide\",dev='png'"
    },
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 450,
       "width": 250
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "par(mar=c(0,2,.5,0))\n",
    "options(repr.plot.width = 5, repr.plot.height = 9, repr.plot.res = 100)\n",
    "\n",
    "suppressMessages(\n",
    "plotIdiograms(dfChrSizeDer,               # data.frame of chromosome size\n",
    "              dfMarkPos = dfMarkPosDer,   # df of mark positions\n",
    "              dfMarkColor = humMarkColor, # df of mark characteristics (in package)\n",
    "\n",
    "              addOTUName = FALSE,         # do not add name of OTU\n",
    "              karIndex = FALSE,           # do not add karyotype indices\n",
    "              morpho = \"\",                # do not add morphological categories\n",
    "              chrIndex = \"\",              # do not add chromosome indices\n",
    "              classChrName = \"\",          # string for naming chr.\n",
    "              \n",
    "              chrColor = \"black\",         # chr. color\n",
    "              chrWidth = 1,               # chromosome width\n",
    "              karHeight = 9,              # kar. height without space\n",
    "              \n",
    "              autoCenSize = FALSE,\n",
    "              \n",
    "              centromereSize = 0,         # apparent centromere size\n",
    "              squareness = 7,             # squareness of chr. and marks\n",
    "\n",
    "              markLabelSize = .5,         # size of legend font\n",
    "              legend = \"inline\",          # mark labels next to chr.\n",
    "              pattern= \"chr[0-9XY]+\",     # REGEX pattern to remove from name of marks\n",
    "              distTextChr = 6,            # distance from chr. to text.\n",
    "              indexIdTextSize = 2,        # font size of chr name and indices\n",
    "              lwd.chr=.5,                 # width of chr and mark borders\n",
    "              colorBorderMark = \"black\",  # force color of border of marks \n",
    "              \n",
    "              ruler= FALSE\n",
    "              \n",
    "              ,xlimLeftMod = 4            # space to the right of karyotype\n",
    ")\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.1.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}