{ "metadata": { "name": "graph-blast-bitscore-titus" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": "# This is an IPython Notebook\n\nTo run cells in this notebook, hold down the shift key and hit the Enter key (aka shift-Enter)" }, { "cell_type": "code", "collapsed": false, "input": "ls /mnt", "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": "\u001b[0m\u001b[01;34mitzuecs\u001b[0m/ \u001b[01;34mlost+found\u001b[0m/ \u001b[01;34mnivretta\u001b[0m/ \u001b[01;34mtarika\u001b[0m/ \u001b[01;34mtitus\u001b[0m/\r\n" } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": "### For the next command, replace 'titus' with your own NetID " }, { "cell_type": "code", "collapsed": false, "input": "cd /mnt/titus", "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": "/mnt/titus\n" } ], "prompt_number": 13 }, { "cell_type": "code", "collapsed": false, "input": "ls", "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": "ecoli.x.salm NC_000913.faa.pni NC_021814.faa.pin ortho.csv\r\nformatdb.log NC_000913.faa.psd NC_021814.faa.pnd salm.x.ecoli\r\nNC_000913.faa NC_000913.faa.psi NC_021814.faa.pni salm.x.ecoli.csv\r\nNC_000913.faa.phr NC_000913.faa.psq NC_021814.faa.psd\r\nNC_000913.faa.pin NC_021814.faa NC_021814.faa.psi\r\nNC_000913.faa.pnd NC_021814.faa.phr NC_021814.faa.psq\r\n" } ], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": "import csv\nr = csv.reader(open('salm.x.ecoli.csv', 'r'))", "language": "python", "metadata": {}, "outputs": [], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": "scores = []\n\nfor row in r:\n name1, descr1, name2, descr2, bitscore, evalue = row\n bitscore = float(bitscore)\n scores.append(bitscore)", "language": "python", "metadata": {}, "outputs": [], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": "print bitscore", "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": "99.0\n" } ], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": "print name1, descr1, name2, descr2", "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": "ref|YP_008257983.1| hypothetical protein CFSAN001921_23440 [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921] ref|NP_415918.1| putative hexapeptide repeat acetyltransferase [Escherichia coli str. K-12 substr. MG1655]\n" } ], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": "hist(scores)\nxlabel('bitscore')\nylabel('N of matches with that bitscore')\ntitle('something clever here')\naxis(ymax=500)", "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 23, "text": "(0.0, 3000.0, 0.0, 500)" }, { "metadata": {}, "output_type": "display_data", "png": 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Hi9jYWJGfny+EEOL48eMiLi5OCCHEnj17RFJSkrS/v7+/qKqquu+47aUKQADCil+MT0Ty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\ntmINDYrQXGUAAAAASUVORK5CYII=\n", "text": "" } ], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": "import csv\nr = csv.reader(open('salm.x.ecoli.csv', 'r'))\n\nscores = []\n\nfor row in r:\n name1, descr1, name2, descr2, bitscore, evalue = row\n bitscore = float(bitscore)\n if bitscore > 2500:\n print descr1, descr2\n", "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": "glutamate synthase subunit alpha [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921] glutamate synthase, large subunit [Escherichia coli str. K-12 substr. MG1655]\nhypothetical protein CFSAN001921_04110 [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921] hypothetical protein b2520 [Escherichia coli str. K-12 substr. MG1655]\nnitrate reductase A subunit alpha [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921] nitrate reductase 1, alpha subunit [Escherichia coli str. K-12 substr. MG1655]\nRNA helicase [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921] putative ATP-dependent helicase [Escherichia coli str. K-12 substr. MG1655]\ncell division protein MukB [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921] chromosome condensin MukBEF, ATPase and DNA-binding subunit [Escherichia coli str. K-12 substr. MG1655]\nDNA-directed RNA polymerase subunit beta' [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921]" }, { "output_type": "stream", "stream": "stdout", "text": " RNA polymerase, beta prime subunit [Escherichia coli str. K-12 substr. MG1655]\nDNA-directed RNA polymerase subunit beta [Salmonella enterica subsp. enterica serovar Typhimurium var. 5- str. CFSAN001921] RNA polymerase, beta subunit [Escherichia coli str. K-12 substr. MG1655]\n" } ], "prompt_number": 24 }, { "cell_type": "code", "collapsed": false, "input": "%loadpy http://matplotlib.org/mpl_examples/api/patch_collection.py", "language": "python", "metadata": {}, "outputs": [], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": "import numpy as np\nimport matplotlib\nfrom matplotlib.patches import Circle, Wedge, Polygon\nfrom matplotlib.collections import PatchCollection\nimport matplotlib.pyplot as plt\n\n\nfig, ax = plt.subplots()\n\nresolution = 50 # the number of vertices\nN = 3\nx = np.random.rand(N)\ny = np.random.rand(N)\nradii = 0.1*np.random.rand(N)\npatches = []\nfor x1,y1,r in zip(x, y, radii):\n circle = Circle((x1,y1), r)\n patches.append(circle)\n\nx = np.random.rand(N)\ny = np.random.rand(N)\nradii = 0.1*np.random.rand(N)\ntheta1 = 360.0*np.random.rand(N)\ntheta2 = 360.0*np.random.rand(N)\nfor x1,y1,r,t1,t2 in zip(x, y, radii, theta1, theta2):\n wedge = Wedge((x1,y1), r, t1, t2)\n patches.append(wedge)\n\n# Some limiting conditions on Wedge\npatches += [\n Wedge((.3,.7), .1, 0, 360), # Full circle\n Wedge((.7,.8), .2, 0, 360, width=0.05), # Full ring\n Wedge((.8,.3), .2, 0, 45), # Full sector\n Wedge((.8,.3), .2, 45, 90, width=0.10), # Ring sector\n]\n\nfor i in range(N):\n polygon = Polygon(np.random.rand(N,2), True)\n patches.append(polygon)\n\ncolors = 100*np.random.rand(len(patches))\np = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)\np.set_array(np.array(colors))\nax.add_collection(p)\nplt.colorbar(p)\n\nplt.show()\n", "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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V8eMf/3jMc4357j5y5AjPPvssoVCI5557ju9+97u3ve71evnWt77FpUuXMJlM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\nZk8fZmtsN1o0ei399iE8bs9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52ejN0S3tw6EQjf/2S3YuMqDRxi+jCsDR04dRVJKdmR3x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\n9/enpKQEa2truru7CQsLo7p6+MyzGb2DtbO2oXOQdNk77R1Uf32GzQs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