Taller-Camilo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Taller 1 de análisis de secuencias\n",
    "\n",
    "#### En este taller se busca hacer uso de diferentes funciones bioinformaticas para obtener los archivos .fastq a partir de datos brutos .fast5 del fago lambda y obtener estadisticas generales de los resultados."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Obtener datos de secuenciación en formato .fast5 y .fastq\n",
    "\n",
    "Para este paso se utilizó Albacore que permitió realizar un basecalling de archivos .fast5 tanto y generar de nuevo archivos .fastq. Para la instalación de Albacore en MacOS se usó el administrador conda para instalar en primer lugar Homebrew: `conda install homebrew` hombrew es un administrador que permite instalar Albacore. \n",
    "\n",
    "El sigiente paso para instalar Albacore es usar el comando `brew install @path` donde `@path` \n",
    "    corresponde a la ruta de acceso al paquete de albacore\n",
    "    \n",
    "Una vez instalado Albacore, se ejecuta el siguiende comando desde la terminal:\n",
    "    \n",
    "`read_fast5_basecaller.py -i /Users/camilogarcia/Desktop/5 -r -k SQK-RAD002 -f FLO-MIN106 -o fast5,fastq -t 1 -s /Users/camilogarcia/Desktop/Fastq-5/`\n",
    "\n",
    "\n",
    "Para este ejercicio se realizó un basecalling de la carpeta 5 de reads del fago \\lambda. En la anterior linea de comando son necesarios siempre los argumentos `- t` que se refiere al numero de núcleos por utilziar en la tarea `-k` que denota el kit de preparación de librería y `-f` que indica el tipo de celda que se uso durante la corrida.\n",
    "\n",
    "El resutlado es una carpeta, que en este caso contiene tanto los archivos .fast5 como los .fastq\n",
    "\n",
    "\n",
    "### 2. Installar `poretools` y obtener estadisticas de los reads\n",
    "\n",
    "Para la instalación de `poretools` se usó el administrador Anaconda y se instalo el paquete en el ambiente por defecto con el comando: `conda install poretools`. Una primera idea de los datos se puede tener usando la función `stats`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/camilogarcia/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "total reads\t816\n",
      "total base pairs\t3561116\n",
      "mean\t4364.11\n",
      "median\t2544\n",
      "min\t163\n",
      "max\t30212\n",
      "N25\t14364\n",
      "N50\t7398\n",
      "N75\t4288\n"
     ]
    }
   ],
   "source": [
    "!poretools stats -q /Users/camilogarcia/Desktop/Fastq-5/workspace/fail/0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el caso anterior se analizó la carpeta de archivos .fast5 que no fueron bien leídos durante el basecalling. En total esta carpeta registra 816 reads. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "directory='/Users/camilogarcia/Desktop/Fastq-5/workspace/pass/0'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/camilogarcia/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "total reads\t2012\n",
      "total base pairs\t10594471\n",
      "mean\t5265.64\n",
      "median\t3657\n",
      "min\t249\n",
      "max\t46289\n",
      "N25\t15877\n",
      "N50\t8681\n",
      "N75\t4949\n"
     ]
    }
   ],
   "source": [
    "!poretools stats -q $directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En este caso se obtuviero 2012 reads que pasaron el control de calidad (?)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/camilogarcia/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "!poretools readstats -q $directory > readstats-camilo.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El archivo se crea justo en la carpeta externa del presente cuaderno."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    2013 readstats.txt\n"
     ]
    }
   ],
   "source": [
    "!wc -l readstats.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start_time\tchannel_number\tread_number\ttemplate_events\tcomplement_events\n",
      "1480018401\t108\t39\t0\t0\n",
      "1480020188\t263\t268\t0\t0\n",
      "1480021259\t351\t184\t0\t0\n",
      "1480018647\t507\t49\t0\t0\n",
      "1480021858\t210\t176\t0\t0\n",
      "1480022636\t181\t339\t0\t0\n",
      "1480024226\t253\t303\t0\t0\n",
      "1480019709\t499\t80\t0\t0\n",
      "1480023785\t115\t296\t0\t0\n"
     ]
    }
   ],
   "source": [
    "!head -10 readstats-camilo.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext rpy2.ipython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>start_time</td>\n",
       "      <td>channel_number</td>\n",
       "      <td>read_number</td>\n",
       "      <td>template_events</td>\n",
       "      <td>complement_events</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1480018401</td>\n",
       "      <td>108</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1480020188</td>\n",
       "      <td>263</td>\n",
       "      <td>268</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1480021259</td>\n",
       "      <td>351</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1480018647</td>\n",
       "      <td>507</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1480021858</td>\n",
       "      <td>210</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
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      ],
      "text/plain": [
       "           V1              V2           V3               V4                 V5\n",
       "1  start_time  channel_number  read_number  template_events  complement_events\n",
       "2  1480018401             108           39                0                  0\n",
       "3  1480020188             263          268                0                  0\n",
       "4  1480021259             351          184                0                  0\n",
       "5  1480018647             507           49                0                  0\n",
       "6  1480021858             210          176                0                  0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%R stats=read.table(\"readstats-camilo.txt\", sep=\"\\t\")\n",
    "%R head(stats)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%R smoothScatter(stats$V1,stats$V3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/camilogarcia/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "usage: poretools hist [-h] [-q] [--min-length MIN_LENGTH]\n",
      "                      [--max-length MAX_LENGTH] [--num-bins NUM_BINS]\n",
      "                      [--saveas STRING] [--theme-bw] [--watch]\n",
      "                      FILES [FILES ...]\n",
      "poretools hist: error: too few arguments\n"
     ]
    }
   ],
   "source": [
    "!poretools hist --theme-bw $directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "!poretools hist -h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "!poretools qualpos $directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "from poretools import Fast5FileSet\n",
    "fast5s = Fast5FileSet('/Users/camilogarcia/Desktop/Fastq-5/workspace/pass/0') \n",
    "for fast5 in fast5s:\n",
    "    start = fast5.get_start_time()\n",
    "    porenum = fast5.get_channel_number() \n",
    "    fq = fast5.get_fastq()\n",
    "    #print porenum, start, fq.seq, fq.qual \n",
    "    fast5.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from poretools import hist\n",
    "for fast5 in fast5s:\n",
    "    hist1 = fast5.hist()\n",
    "    print hist1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Instalación de `poRe` y análisis de reads"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para instalar la librería de `PoRe` se siguieron las indicaciones del siguiente repositorio de Github: https://github.com/mw55309/poRe_docs/blob/master/01_Installation.md\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: rhdf5\n",
      "Loading required package: bit64\n",
      "Loading required package: bit\n",
      "Attaching package bit\n",
      "package:bit (c) 2008-2012 Jens Oehlschlaegel (GPL-2)\n",
      "creators: bit bitwhich\n",
      "coercion: as.logical as.integer as.bit as.bitwhich which\n",
      "operator: ! & | xor != ==\n",
      "querying: print length any all min max range sum summary\n",
      "bit access: length<- [ [<- [[ [[<-\n",
      "for more help type ?bit\n",
      "\n",
      "Attaching package: ‘bit’\n",
      "\n",
      "The following object is masked from ‘package:base’:\n",
      "\n",
      "    xor\n",
      "\n",
      "Attaching package bit64\n",
      "package:bit64 (c) 2011-2012 Jens Oehlschlaegel\n",
      "creators: integer64 seq :\n",
      "coercion: as.integer64 as.vector as.logical as.integer as.double as.character as.bin\n",
      "logical operator: ! & | xor != == < <= >= >\n",
      "arithmetic operator: + - * / %/% %% ^\n",
      "math: sign abs sqrt log log2 log10\n",
      "math: floor ceiling trunc round\n",
      "querying: is.integer64 is.vector [is.atomic} [length] format print str\n",
      "values: is.na is.nan is.finite is.infinite\n",
      "aggregation: any all min max range sum prod\n",
      "cumulation: diff cummin cummax cumsum cumprod\n",
      "access: length<- [ [<- [[ [[<-\n",
      "combine: c rep cbind rbind as.data.frame\n",
      "WARNING don't use as subscripts\n",
      "WARNING semantics differ from integer\n",
      "for more help type ?bit64\n",
      "\n",
      "Attaching package: ‘bit64’\n",
      "\n",
      "The following object is masked from ‘package:bit’:\n",
      "\n",
      "    still.identical\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    %in%, :, is.double, match, order, rank\n",
      "\n",
      "Loading required package: shiny\n",
      "Loading required package: data.table\n",
      "\n",
      "Attaching package: ‘data.table’\n",
      "\n",
      "The following object is masked from ‘package:bit’:\n",
      "\n",
      "    setattr\n",
      "\n",
      "Loading required package: svDialogs\n",
      "Loading required package: svGUI\n",
      "Loading required package: parallel\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] 49462\n",
      "[1] 33086\n"
     ]
    }
   ],
   "source": [
    "library(poRe)\n",
    "library(grid)\n",
    "\n",
    "dir1 <- \"/Users/camilogarcia/Desktop/Fastq-5/workspace/pass/0\"\n",
    "dir2 <- \"/Users/camilogarcia/Desktop/Fastq-5/workspace/fail/0\"\n",
    "\n",
    "\n",
    "\n",
    "meta_pass <- read.fast5.info(dir1)\n",
    "meta_fail <- read.fast5.info(dir2)\n",
    "\n",
    "print(max(meta_pass$tlen))\n",
    "print(max(meta_fail$tlen))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(tidyverse)\n",
    "library(grDevices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xDUb/rO1zbPinqmuJ5R7n6x1nzbW06A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\nECCw4wIrFXaQlSFQroUAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “template”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rc11wupjkoOTDZKeq1ud64XYJ2TvC85NallGgECBAgQIECAAAECBAi0VKCtBXCd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\nA5gh0K+St5G6AAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “template”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 8, repr.plot.height = 5)\n",
    "\n",
    "\n",
    "p1 <- plot.length.histogram(meta_pass) \n",
    "p2 <- plot.length.histogram(meta_fail)\n",
    "\n",
    "#grid.arrange(p1, p2, ncol = 2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3JqdQn4BijazYq8IG6k4Q0Kt0/jW7Qc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AmF+mCCCAAAIIIIAAAgikFahiA2l7Fd7Dd7txdNYMEPdr/cmK9RQnKjyMNb1IQuhM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\nAAEEEEAAAQTKIEAPU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P0xE/rbhT8UDuRy//Aecqi29WzFfclTG7f6ntFyp+nXE/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\ngg==",
      "text/plain": [
       "Plot with title “2D”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yield <- plot.cumulative.yield(meta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}