0_ms2_into_groups.ipynb

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    "import pandas as pd\n",
    "import numpy as np\n",
    "import glob,os,re,sys,shutil\n",
    "from natsort import natsorted\n",
    "from itertools import zip_longest"
   ]
  },
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   "source": [
    "%%bash\n",
    "cat ms2spectra_consensus.mgf | grep \"CHARGE\" | sort | uniq -c"
   ]
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    "###############################################\n",
    "# Functions:\n",
    "\n",
    "### get begin and end indices into tuples:\n",
    "def get_indices(file):\n",
    "    begin_line_indexes = []\n",
    "    end_line_indexes = []\n",
    "\n",
    "    with open(file,'r') as ms2_consensus:\n",
    "        for i, line in enumerate(ms2_consensus.readlines()):\n",
    "            if 'BEGIN' in line:\n",
    "            #   extract line index for lines that contain BEGIN\n",
    "                begin_line_indexes.append(i)\n",
    "\n",
    "            elif 'END' in line:\n",
    "                # return index of line after //\n",
    "                end_line_indexes.append(i+1)\n",
    "\n",
    "    begin_end_tuple = list(zip(begin_line_indexes, end_line_indexes))\n",
    "\n",
    "    return begin_end_tuple\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#### grouped() groups n features into mgf files\n",
    "def grouper(iterable, n, fillvalue=None):\n",
    "    args = [iter(iterable)] * n\n",
    "    return zip_longest(*args, fillvalue=fillvalue)\n",
    "\n",
    "\n",
    "###############################################"
   ]
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  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = \"ms2spectra_consensus.mgf\""
   ]
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  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "### 4 - create new dir to have separate mgf files\n",
    "dirname = 'groups'\n",
    "if os.path.exists(dirname):\n",
    "    shutil.rmtree(dirname)\n",
    "os.makedirs(dirname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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     "text": [
      "499\n",
      "493\n"
     ]
    }
   ],
   "source": [
    "### 5 - repeat steps 1,2\n",
    "begin_end_tuple = get_indices(file)\n",
    "\n",
    "print(len(begin_end_tuple))\n",
    "\n",
    "count = 0\n",
    "for b in begin_end_tuple:\n",
    "    if b[1]-b[0] < 9:\n",
    "        begin_end_tuple.pop(count)\n",
    "        count+=1\n",
    "    else:\n",
    "        count+=1\n",
    "\n",
    "print(len(begin_end_tuple))\n",
    "        \n",
    "\n",
    "lineList = list()\n",
    "with open(file, 'r') as f:\n",
    "    lineList = [line.rstrip() for line in f]"
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
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   "source": [
    "### 6 - separate mgf consensus into n files with 5 ms2 spectra\n",
    "count = 1\n",
    "\n",
    "for group in list(grouper(begin_end_tuple , 5)):\n",
    "    with open(dirname+'/group_'+str(count)+'.mgf','w') as out:\n",
    "        if None in group:\n",
    "            none_index = group.index(None)\n",
    "            group = group[:none_index] # easy fix\n",
    "            for g in group:\n",
    "                ms2 = lineList[g[0]:g[1]]\n",
    "                for i in ms2:\n",
    "                    out.write(i+'\\n')\n",
    "                out.write('\\n')\n",
    "            count+=1\n",
    "        else:\n",
    "            for g in group:\n",
    "                ms2 = lineList[g[0]:g[1]]\n",
    "                for i in ms2:\n",
    "                    out.write(i+'\\n')\n",
    "                out.write('\\n')\n",
    "            count+=1"
   ]
  }
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