<div dir="ltr">Many thanks!<div><br></div><div>Alan</div></div><div class="gmail_extra"><br><div class="gmail_quote">On 24 February 2015 at 14:48, Denis Puthier <span dir="ltr"><<a href="mailto:denis.puthier@univ-amu.fr" target="_blank">denis.puthier@univ-amu.fr</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Perhaps you could give a try at GraphLan which seems to be written in python.<div><a href="http://huttenhower.sph.harvard.edu/graphlan" target="_blank">http://huttenhower.sph.harvard.edu/graphlan</a><br></div><div>Best</div><div><br></div><div>Denis</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div class="h5">2015-02-24 15:36 GMT+01:00 Alan <span dir="ltr"><<a href="mailto:alanwilter@gmail.com" target="_blank">alanwilter@gmail.com</a>></span>:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5"><div dir="ltr">Hi there,<div><br></div><div><a href="http://itol.embl.de/" target="_blank">http://itol.embl.de/</a> is nice but not practical for me anymore.</div><div><br></div><div>I am wondering if there are python tools/scripts that could help me to achieve similar results.</div><div><br></div><div>To start, I basically have 2 sets of taxons: one at phyla level and another at species level and I just want a kind of histogram of species per phylum as seen in e.g. <a href="http://itol.embl.de/shared/awss" target="_blank">http://itol.embl.de/shared/awss</a>. Then I will extend it for including other data.</div><div><br></div><div>Many thanks in advance,</div><div><br></div><div>Alan</div><span><font color="#888888"><div><br></div><div>-- <br><div><div dir="ltr">Alan Wilter SOUSA da SILVA, DSc<div>Bioinformatician, UniProt</div><div>European Bioinformatics Institute (EMBL-EBI)</div><div>European Molecular Biology Laboratory</div><div>Wellcome Trust Genome Campus</div><div>Hinxton</div><div>Cambridge CB10 1SD</div><div>United Kingdom</div><div>Tel: <a href="tel:%2B44%20%280%291223%20494588" value="+441223494588" target="_blank">+44 (0)1223 494588</a></div></div></div>
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<a href="http://mailman.open-bio.org/mailman/listinfo/biopython" target="_blank">http://mailman.open-bio.org/mailman/listinfo/biopython</a><br></blockquote></div><br><br clear="all"><div><br></div>-- <br><div>====================================================================<br>Denis Puthier<br>laboratoire INSERM<br>TAGC/INSERM U 1090<br>Parc Scientifique de Luminy case 928<br>163, avenue de Luminy<br>13288 MARSEILLE cedex 09<br>FRANCE<br>Mail: <span style="font-family:arial,sans-serif;font-size:12.800000190734863px;background-color:rgb(245,245,245)"><a href="mailto:denis.puthier@univ-amu.fr" target="_blank">denis.puthier@univ-amu.fr</a></span><br>Tel: (National) 04 91 82 87 11 / (International) 33 4 91 82 87 11<br>Fax: (National) 04 91 82 87 01 / (International) 33 4 91 82 87 01<br><br>Web:<div><br><div><a href="http://tagc.univ-mrs.fr/tagc/index.php/research/network-bioinformatics/dputhier" target="_blank">http://tagc.univ-mrs.fr/tagc/index.php/research/network-bioinformatics/dputhier</a></div><div><br></div><div><img><img><img><br><div></div><div></div><div></div><div><br>====================================================================</div></div></div><div><br></div></div>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Alan Wilter SOUSA da SILVA, DSc<div>Bioinformatician, UniProt</div><div>European Bioinformatics Institute (EMBL-EBI)</div><div>European Molecular Biology Laboratory</div><div>Wellcome Trust Genome Campus</div><div>Hinxton</div><div>Cambridge CB10 1SD</div><div>United Kingdom</div><div>Tel: +44 (0)1223 494588</div></div></div>
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