sequence_combiner.ipynb

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  {
   "cell_type": "code",
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   "source": [
    "import os, sys"
   ]
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  {
   "cell_type": "code",
   "execution_count": "0",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "home = \"/home/cfriedline/gpfs/projects/black_spruce/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": "0",
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "parents = [\"P32\", \"P40\"]\n",
    "tissue = [\"C\", \"N\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": "0",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "samples = []\n",
    "for p in parents:\n",
    "    for t in tissue:\n",
    "        samples.append(p+t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": "0",
   "metadata": {
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   "outputs": [],
   "source": [
    "samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": "0",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fasta = [os.path.join(home, \"seqclean/%s.fa.clean_output\" % x) for x in samples]\n",
    "fasta"
   ]
  }
 ],
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