diff --git a/README.md b/README.md index d5b9a51..d0b5b9d 100644 --- a/README.md +++ b/README.md @@ -158,10 +158,15 @@ for generating them, is also included. #### Host/Parasite * **gopher-louse** Hafner, M.S. & Nadler, S.A. 1988. *Phylogenetic trees support the coevolution of parasites and their hosts.* Nature 332: 258-259) -* **dove-louse** Dale H. Clayton, Sarah E. Bush, Brad M. Goates, and Kevin P. Johnson. 2003. *Host defense reinforces host–parasite cospeciation.* PNAS. +* **dove-louse** Dale H. Clayton, Sarah E. Bush, Brad M. Goates, and Kevin P. Johnson. 2003. *Host defense reinforces host–parasite cospeciation.* PNAS. #### Plant/Pollinator (visitor) interactions +These were originally collected by Enrico Rezende *et al.* : + +> Enrico L. Rezende, Jessica E. Lavabre, Paulo R. Guimarães, Pedro Jordano & Jordi Bascompte +"[Non-random coextinctions in phylogenetically structured mutualistic networks](http://www.nature.com/nature/journal/v448/n7156/abs/nature05956.html)," *Nature*, 2007 + * **arr1** Arroyo, M.T.K., R. Primack & J.J. Armesto. 1982. *Community studies in pollination ecology in the high temperate Andes of central Chile. I. Pollination mechanisms and altitudinal variation.* Amer. J. Bot. 69:82-97. * **arr2** Arroyo, M.T.K., R. Primack & J.J. Armesto. 1982. *Community studies in pollination ecology in the high temperate Andes of central Chile. I. Pollination mechanisms and altitudinal variation.* Amer. J. Bot. 69:82-97. * **arr3** Arroyo, M.T.K., R. Primack & J.J. Armesto. 1982. *Community studies in pollination ecology in the high temperate Andes of central Chile. I. Pollination mechanisms and altitudinal variation.* Amer. J. Bot. 69:82-97. diff --git a/data/dove-louse/dove-louse.ipynb b/data/dove-louse/dove-louse.ipynb index 5b922ca..89c0e8c 100644 --- a/data/dove-louse/dove-louse.ipynb +++ b/data/dove-louse/dove-louse.ipynb @@ -1169,7 +1169,11 @@ " fasta = Entrez.efetch( db='nucleotide', id=ntid, rettype='fasta', retmode='text' ).read()\n", " louse_dna = parse( StringIO( fasta ), 'fasta' ).next()\n", " print louse_dna.description\n", - " louse_records.append( louse_dna )" + " louse_records.append( louse_dna )\n", + "\n", + "AF279704:AF279743\n", + "AF278608:AF278643\n", + "AY151003:AY151026" ] }, { diff --git a/data/sedge-smut/sedge-smut.ipynb b/data/sedge-smut/sedge-smut.ipynb index 594244c..d33e0ac 100644 --- a/data/sedge-smut/sedge-smut.ipynb +++ b/data/sedge-smut/sedge-smut.ipynb @@ -12,6 +12,8 @@ "Cospeciation or host-shift speciation?*](http://www.amjbot.org/content/102/7/1108.full),\n", "by Marcial Escudero.\n", "\n", + "> Escudero, Marcial. \"Phylogenetic congruence of parasitic smut fungi (*Anthracoidea*, Anthracoideaceae) and their host plants (*Carex*, Cyperaceae): Cospeciation or host-shift speciation?.\" *American journal of botany* 102.7 (2015): 1108-1114.\n", + "\n", "### Required software\n", "\n", "Python packages (available through pip) :\n", @@ -1440,7 +1442,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 30, "metadata": { "collapsed": true }, @@ -1492,7 +1494,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 31, "metadata": { "collapsed": false }, @@ -1612,7 +1614,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 32, "metadata": { "collapsed": false }, @@ -1633,7 +1635,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 33, "metadata": { "collapsed": true }, @@ -1652,7 +1654,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -1714,7 +1716,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 35, "metadata": { "collapsed": true }, @@ -1727,7 +1729,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 36, "metadata": { "collapsed": false }, @@ -3160,7 +3162,7 @@ "[39 rows x 27 columns]" ] }, - "execution_count": 25, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -3193,7 +3195,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 37, "metadata": { "collapsed": false }, @@ -3205,7 +3207,7 @@ "" ] }, - "execution_count": 26, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -3242,7 +3244,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 38, "metadata": { "collapsed": false }, @@ -3254,7 +3256,7 @@ "" ] }, - "execution_count": 27, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -3301,7 +3303,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 39, "metadata": { "collapsed": false }, @@ -3317,7 +3319,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 40, "metadata": { "collapsed": false }, @@ -3328,7 +3330,7 @@ "(0, 130)" ] }, - "execution_count": 29, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, @@ -3336,7 +3338,7 @@ "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABUEAAAUtCAYAAADSroWBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ - "" + "" ] }, "metadata": { diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000..b88034e --- /dev/null +++ b/setup.cfg @@ -0,0 +1,2 @@ +[metadata] +description-file = README.md diff --git a/setup.py b/setup.py index e9c3676..c0a2aba 100755 --- a/setup.py +++ b/setup.py @@ -12,6 +12,7 @@ author_email='ryneches@ucdavis.edu', license='BSD', packages=['SuchTree'], + download_url='https://github.com/ryneches/SuchTree/archive/0.1.tar.gz', install_requires=[ 'scipy>=0.18', 'numpy',