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@jvhaarst
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Create 500 FASTA sequences, by combining the shortest ones into a bigger ones that are smaller than the maximum size as given by 10x genomics
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{
"cells": [
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"cell_type": "markdown",
"metadata": {},
"source": [
"Create 500 sequences, by combining the shortest ones into a bigger ones that are smaller than the maximum size.\n",
"Separate by 500Ns"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import os\n",
"from os.path import basename\n",
"from Bio import SeqIO\n",
"from Bio.Seq import Seq\n",
"from Bio.SeqRecord import SeqRecord"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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"source": [
"filename = ''\n",
"max_number_of_contigs = 500\n",
"max_contig_size = pow(2,29)-1 # https://support.10xgenomics.com/genome-exome/software/pipelines/latest/advanced/references\n",
"minimal_size=1000\n",
"Ns = \"N\" * 500"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Read input FASTA file into list _l_"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"handle = open(filename, \"rU\")\n",
"l = SeqIO.parse(handle, \"fasta\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Sort list of sequences (_l_) on length to _sortedList_ , short to long"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"sortedList = [f for f in sorted(l, key=lambda x : len(x.seq), reverse=True)]\n",
"print(len(sortedList))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Split out the contigs at number_of_contigs, check for minimal length"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"skipped = 0\n",
"total_number_of_contigs = len(sortedList)\n",
"number_of_contigs_concatenated = 0\n",
"concatenated_contigs_index = 0\n",
"concatenated_contigs = []\n",
"concatenate_list = []\n",
"concatenate_list_length = 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"for idx, val in reversed(list(enumerate(sortedList))):\n",
" # Do we still have to concatenate contigs ?\n",
" if total_number_of_contigs - number_of_contigs_concatenated + len(concatenated_contigs) >= max_number_of_contigs:\n",
" # Check for minimal length requirement\n",
" if len(sortedList[idx].seq) >= minimal_size: \n",
" # If the size of list + current + N_length < maximum, add to list\n",
" if (len(Ns) + len(sortedList[idx].seq) + concatenate_list_length) <= max_contig_size:\n",
" concatenate_list.append(sortedList[idx])\n",
" concatenate_list_length += len(sortedList[idx].seq)+len(Ns)\n",
" number_of_contigs_concatenated +=1\n",
" # Clear if used\n",
" sortedList[idx] = ''\n",
" else:\n",
" # Add current concatenated to list of concatenated ones\n",
" concatenated_contigs.append(concatenate_list)\n",
" # Initiate new list\n",
" concatenate_list = []\n",
" concatenate_list_length = 0 \n",
" concatenate_list.append(sortedList[idx])\n",
" concatenate_list_length += len(sortedList[idx].seq)+len(Ns)\n",
" number_of_contigs_concatenated +=1 \n",
" # Clear if used\n",
" sortedList[idx] = '' \n",
" else:\n",
" skipped += 1\n",
" # Clear if used\n",
" sortedList[idx] = ''\n",
" else:\n",
" print \"Done skipping contigs\"\n",
" concatenated_contigs.append(concatenate_list)\n",
" break\n",
"print \"Skipped\",skipped,\"contigs that were shorter than\",minimal_size"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Concatenate contigs"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"concatenated_records=[]\n",
"for idx, concatenate_list in enumerate(concatenated_contigs):\n",
" conseq = Seq(Ns.join([str(seq_rec.seq) for seq_rec in concatenate_list]))\n",
" conseq_descriptions = '|'.join([str(seq_rec.id) for seq_rec in concatenate_list])\n",
" conseq_size = float(sum([len(seq_rec.seq) for seq_rec in concatenate_list]))\n",
" conseq_r = SeqRecord(conseq)\n",
" conseq_r.id = str(len(concatenate_list))+'_concatenated_sequences'\n",
" concatenated_records.append(conseq_r) \n",
" print(idx,len(concatenate_list),conseq_size,conseq_size/max_contig_size)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"concatenated_records"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Remove empty records from list"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sortedList = filter(None, sortedList)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Write out the different files"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#outfile = basename(os.path.splitext(filename)[0])+ '.largest.' + str(max_number_of_contigs) + '.fasta'\n",
"outfile = basename(filename) + '.largest.' + str(len(sortedList)) + '.' + str(minimal_size) + '.fasta'"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"outfile"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"SeqIO.write(sortedList, outfile, \"fasta\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"! ls -lh {outfile}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#outfile = basename(os.path.splitext(filename)[0]) + '.notlargest.' + str(max_number_of_contigs) + '.concatenated.fasta'\n",
"outfile = basename(filename) + '.notlargest.' + str(len(concatenated_records)) + '.' + str(minimal_size) + '.concatenated.fasta'"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"outfile"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"SeqIO.write(concatenated_records, outfile, \"fasta\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"! ls -lh {outfile}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"outfile = basename(filename) + '.' + str(max_number_of_contigs) + '.' + str(minimal_size) + '.combined.fasta'\n",
"outfile"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sortedList += concatenated_records"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"SeqIO.write(sortedList, outfile, \"fasta\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"! ls -lh {outfile}"
]
}
],
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"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
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"file_extension": ".py",
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