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@gregcaporaso
Created September 10, 2012 20:06
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IPython notebooks corresponding to Reagan et al, ISME Journal 2012
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{
"metadata": {
"name": "Cloud Demo (complete)"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": "# Step 0. Connect to IPython Cluster"
},
{
"cell_type": "code",
"collapsed": false,
"input": "from IPython import parallel\nrc = parallel.Client(packer='pickle')\nview = rc.load_balanced_view()\nprint \"We have %i engines available\" % len(rc.ids)\n# skip cached results (for faster debugging)\nrc[:]['skip_cache'] = True",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "A utility for monitoring progress while waiting on an AsyncResult:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "import sys\nfrom datetime import datetime\nfrom IPython.core.display import clear_output\n\ndef wait_on(ar):\n N = len(ar.msg_ids)\n rc = ar._client\n submitted = rc.metadata[ar.msg_ids[0]]['submitted']\n\n while not ar.ready():\n ar.wait(1)\n progress = sum([ msg_id not in rc.outstanding for msg_id in ar.msg_ids ])\n dt = (datetime.now()-submitted).total_seconds()\n clear_output()\n print \"%3i/%3i tasks finished after %4i s\" % (progress, N, dt),\n sys.stdout.flush()\n print\n print \"done\"",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "# Step 1. Slice alignments"
},
{
"cell_type": "code",
"collapsed": false,
"input": "base_region_boundaries = [\n ('v2', 136, 1868), #27f-338r\n ('v2.v3', 136, 2232),\n ('v2.v4', 136, 4051),\n ('v2.v6', 136, 4932),\n ('v2.v8', 136, 6426),\n ('v2.v9', 136, 6791),\n ('v3', 1916, 2232), #349f-534r\n ('v3.v4', 1916, 4051),\n ('v3.v6', 1916, 4932),\n ('v3.v8', 1916, 6426),\n ('v3.v9', 1916, 6791),\n ('v4', 2263, 4051), #515f-806r\n ('v4.v6', 2263, 4932),\n ('v4.v8', 2263, 6426),\n ('v4.v9', 2263, 6791),\n ('v6', 4653, 4932), #967f-1048r\n ('v6.v8', 4653, 6426),\n ('v6.v9', 4653, 6791),\n ('v9', 6450, 6791), #1391f-1492r\n ('full.length', 0, 7682), # Start 150, 250, 400 base pair reads\n ('v2.150', 136, 702),\n ('v2.250', 136, 1752),\n ('v2.v3.400', 136, 2036), # Skips reads that are larger than amplicon size\n ('v3.v4.150', 1916, 2235),\n ('v3.v4.250', 1916, 2493),\n ('v3.v4.400', 1916, 4014),\n ('v4.150', 2263, 3794),\n ('v4.250', 2263, 4046),\n ('v4.v6.400', 2263, 4574),\n ('v6.v8.150', 4653, 5085),\n ('v6.v8.250', 4653, 5903),\n ('v6.v8.400', 4653, 6419)\n]\nprint \"%i regions, which we will break up into tasks to be done in parallel\" % len(base_region_boundaries)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": "base_percentages = range(76,98,3)\n# percentages.append(99)\n\nseq_file_base = '/home/ubuntu/qiime_software/gg_otus-4feb2011-release/rep_set/gg_%i_otus_4feb2011_aligned.fasta'",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "If we want to use multiple seq_files, that's a nested list:\n\n sub_alignments = []\n for seq_file in seq_files:\n for region_boundary in region_boundaries:\n sub_alignemnts.append(load_sub_alignment(seq_file, region_boundary)\n\nThis can actually be transformed into a flat list suitable for map with clever use of `itertools.product`:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "import itertools\nlist_of_tuples = itertools.product(base_percentages, base_region_boundaries)\npercentages, region_boundaries = zip(*list_of_tuples)\nseq_files = [seq_file_base % i for i in percentages]\nlabels = [ \"%i.%s\" % (p,rb[0]) for p,rb in zip(percentages, region_boundaries) ]\n\nntasks = len(region_boundaries)\nntasks",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Loading data is an expensive operation. This takes the most time, of any steps"
},
{
"cell_type": "code",
"collapsed": false,
"input": "def load_sub_alignment(seq_file, region_boundary):\n \"\"\"load subregion of data into new file\"\"\"\n from cogent import LoadSeqs\n from cogent.core.alignment import DenseAlignment\n import os\n id_, start, end = region_boundary\n base, ext = os.path.splitext(os.path.basename(seq_file))\n sub_fname = '/home/ubuntu/data/' + base + \"_%s\" % id_ + ext\n if skip_cache and os.path.exists(sub_fname):\n # skip if we've already generated it\n return sub_fname\n aln = LoadSeqs(seq_file, aligned=DenseAlignment)\n sub_alignment = aln.takePositions(range(start, end))\n sub_alignment.writeToFile(sub_fname)\n return sub_fname",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Submit the loads to be done in parallel"
},
{
"cell_type": "code",
"collapsed": true,
"input": "amr = load_amr = view.map_async(load_sub_alignment, seq_files, region_boundaries)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Submission is asynchronous, and returns immediately.\n\nNow we wait for the computations to actually finish, returning the list of filenames for the subregions.\n\n**this will take time**"
},
{
"cell_type": "code",
"collapsed": false,
"input": "wait_on(amr)\nsub_aligns = amr.get()\nsub_aligns",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Now let's take a quick peek at the overhead of performing this compuation with IPython"
},
{
"cell_type": "code",
"collapsed": false,
"input": "def print_parallel_stats(ar):\n \"\"\"print some performance info for a given AsyncResult\"\"\"\n ar.wait()\n serial = 0.\n times = []\n for start,stop in zip(ar.started, ar.completed):\n elapsed = (stop-start).total_seconds()\n times.append(elapsed)\n longest = max(times)\n serial = sum(times)\n finished = max(ar.received)\n submitted = min(ar.submitted)\n wall = (finished - submitted).total_seconds()\n \n bar(range(len(times)), sorted(times))\n xlim(0, ntasks)\n ylabel(\"time (s)\")\n title(\"min=%is max=%is\" % (min(times), max(times)))\n \n print \"ran %.1fs of work in %.1fs in %i tasks on %i engines\" % (serial, wall, len(ar.msg_ids), len(rc.ids))\n print \"for a speedup of %.1fx\" % (serial/wall)\n print \"longest task was %.1fs, which is the best we could hope to do.\" % (longest)\n print \"IPython overhead: %ippm\" % (1e6*(wall-longest)/longest)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": "print_parallel_stats(load_amr)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "# Step 2. Filter hypervariable positions and mostly gapped positions"
},
{
"cell_type": "code",
"collapsed": false,
"input": "def filter_alignment(fname):\n \"\"\"call out to subcommand, which filters the positions\"\"\"\n import os\n import subprocess\n base, ext = os.path.splitext(fname)\n filtered = base + '_pfiltered' + ext\n result_fp = os.path.join('/home/ubuntu/data',filtered)\n if os.path.exists(result_fp):\n return result_fp\n cmd = \"filter_alignment.py -i %s -e 0.1 -g 0.8 --suppress_lane_mask_filter -o /home/ubuntu/data/\" % fname\n # RUN cmd\n subprocess.call(cmd, shell=True)\n return result_fp",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "This one is quick, so we do it synchronously, but still in parallel:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "%time filtered = view.map_sync(filter_alignment, sub_aligns)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "# Step 3. Build trees in parallel"
},
{
"cell_type": "code",
"collapsed": true,
"input": "def build_tree(filtered_aln_fp):\n \"\"\"build tree from a filtered alignment\"\"\"\n import os\n from cogent import LoadSeqs\n from cogent.core.alignment import DenseAlignment\n from cogent.app.fasttree import build_tree_from_alignment\n from cogent import DNA\n \n tree_fp = '%s.tre' % os.path.splitext(filtered_aln_fp)[0]\n if skip_cache and os.path.exists(tree_fp):\n # skip already done\n return tree_fp\n tree = build_tree_from_alignment(LoadSeqs(filtered_aln_fp, aligned=DenseAlignment), moltype=DNA)\n tree.writeToFile(tree_fp,with_distances=True)\n return tree_fp",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "This is the other step that takes some real time."
},
{
"cell_type": "markdown",
"metadata": {},
"source": "**this will take time**"
},
{
"cell_type": "code",
"collapsed": false,
"input": "print 100*amr.progress/float(len(amr))",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "100.0\n"
}
],
"prompt_number": 39
},
{
"cell_type": "code",
"collapsed": false,
"input": "amr = tree_amr = view.map_async(build_tree, filtered)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": "wait_on(amr)\ntrees = amr.get()",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": "print_parallel_stats(tree_amr)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "# Step 4. Compute distances between trees"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "`compare_trees()` computes the distance *submatrix* corresponding to a given tree."
},
{
"cell_type": "code",
"collapsed": false,
"input": "def compare_trees(list_of_tree_files, i, nreps=50, sample_percent=0.1):\n \"\"\"compute section of distance matrix for a single tree\"\"\"\n from cogent.parse.tree import DndParser\n from numpy import zeros, mean\n\n trees = [DndParser(open(f)) for f in list_of_tree_files]\n dist_mat = zeros((len(trees), len(trees)))\n t1 = trees[i]\n t1_ntips = len(t1.tips())\n for dj,t2 in enumerate(trees[i+1:]):\n j = i+dj+1\n sample_size = int(round((min(t1_ntips, len(t2.tips())) * sample_percent)))\n distances = [t1.compareByTipDistances(t2, sample=sample_size) for r in range(nreps)]\n dist_mat[i,j] = mean(distances)\n dist_mat[j,i] = mean(distances)\n return dist_mat",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "We can then compute these submatrices in parallel"
},
{
"cell_type": "code",
"collapsed": false,
"input": "map_trees = [trees]*ntasks\namr = view.map_async(compare_trees, map_trees, range(ntasks)[::-1], ordered=False)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "And compute the final distance matrix by perorming a sum (via builtin `reduce()`)"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "**this will take the most time**"
},
{
"cell_type": "code",
"collapsed": false,
"input": "def _print_progress(ar):\n N = len(ar.msg_ids)\n rc = ar._client\n submitted = rc.metadata[ar.msg_ids[0]]['submitted']\n progress = sum([ msg_id not in rc.outstanding for msg_id in ar.msg_ids ])\n dt = (datetime.now()-submitted).total_seconds()\n clear_output()\n print \"%4i/%3i tasks finished after %4i s\" % (progress, N, dt),\n sys.stdout.flush()\n \ndef progress_sum(a,b):\n c = a+b\n _print_progress(amr)\n return c\n\ndist_mat = reduce(progress_sum, amr, 0)\ndist_mat.tofile('/home/ubuntu/data/dist_mat_complete.np')",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Now we can peek at the distance matrix, to see if there is anything interesting."
},
{
"cell_type": "code",
"collapsed": true,
"input": "# Uncomment here to load dist_mat from cache, to regenerate plots\n# import numpy\n# dist_mat = numpy.fromfile('/home/ubuntu/data/dist_mat_complete.np').reshape(ntasks,ntasks)",
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": "pcolor(dist_mat)\nxlim(0,ntasks)\nylim(0,ntasks)\ncolorbar()",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 44,
"text": "<matplotlib.colorbar.Colorbar instance at 0x7f56931629e0>"
},
{
"output_type": "display_data",
"png": 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YyU8eEjPYOwj+fMjm1gGl5wF45PB3ue183TfZBybXgWO+oX5XEj/gh/y28xrG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\nIDh+g+zWLTnYV33UB+MQQbfLz2xdQI18JvB9r9RjG7o7lWdbW3KczNw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SqLLep/9vwrF3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XPncs455/zzzI8FtANQyNFKvZXuMVvhNKyUz6xRmNY6vauFflMhc5+aNAMrJYS6DS3vQGgslaWF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\n"
}
],
"prompt_number": 44
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Write QIIME's distance matrix format"
},
{
"cell_type": "code",
"collapsed": false,
"input": "from qiime.format import format_distance_matrix\n\nopen('/home/ubuntu/data/distance_matrix_complete.txt','w').write(format_distance_matrix(labels,dist_mat))",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 45
},
{
"cell_type": "markdown",
"metadata": {},
"source": "# Step 5. Compute PCoA: QIIME/PyCogent"
},
{
"cell_type": "code",
"collapsed": false,
"input": "!principal_coordinates.py -i /home/ubuntu/data/distance_matrix_complete.txt -o /home/ubuntu/data/pc_complete.txt",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 49
},
{
"cell_type": "markdown",
"metadata": {},
"source": "# Step 6. Display PCoA: QIIME"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "This generates an HTML file and java visualization for the data"
},
{
"cell_type": "code",
"collapsed": false,
"input": "!wget http://qiime.org/home_static/nih-cloud-apr2012/tree_metadata.txt\n!make_3d_plots.py -i /home/ubuntu/data/pc_complete.txt -o /home/ubuntu/data/pcoa_plots_complete/ -m tree_metadata.txt",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "--2012-08-07 17:20:20-- http://qiime.org/home_static/nih-cloud-apr2012/tree_metadata.txt\r\nResolving qiime.org... 216.34.181.97\r\nConnecting to qiime.org|216.34.181.97|:80... connected.\r\nHTTP request sent, awaiting response... "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "200 OK\r\nLength: 9313 (9.1K) [text/plain]\r\nSaving to: `tree_metadata.txt.3'\r\n\r\n\r 0% [ ] 0 --.-K/s "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\r100%[======================================>] 9,313 --.-K/s in 0.02s \r\n\r\n2012-08-07 17:20:20 (374 KB/s) - `tree_metadata.txt.3' saved [9313/9313]\r\n\r\n"
}
],
"prompt_number": 50
},
{
"cell_type": "markdown",
"metadata": {},
"source": "And the notebook simply serves these files up in `/files`, so we can visit the visualization <a href=\"/files/data/pcoa_plots_complete/pc_complete_3D_PCoA_plots.html\" target=_blank>directly</a>\n\n**NOTE**: The above link is not static: to view the plot, you must run the notebook. "
}
],
"metadata": {}
}
]
}
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