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<div class="">Hi Nafiz,</div>
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<div class="">My understanding is that you are correct, with respect to parsing files from the local filesystem (I may be wrong though…).</div>
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<div class="">There is an alternative way to get access to KEGG data through the online REST API, and there’s a summary/set of worked examples for this interface here: <a href="https://github.com/widdowquinn/notebooks/blob/master/Biopython_KGML_intro.ipynb" class="">https://github.com/widdowquinn/notebooks/blob/master/Biopython_KGML_intro.ipynb</a> that
I hope you might find useful. Since KEGG adopted a subscription model, I’ve used this interface for all my KEGG work.</div>
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<div class="">Best wishes,</div>
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<div class="">L.</div>
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<blockquote type="cite" class="">
<div class="">On 17 May 2016, at 20:04, Md Nafiz Hamid <<a href="mailto:nafiz.hamid.iut@gmail.com" class="">nafiz.hamid.iut@gmail.com</a>> wrote:</div>
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<div dir="ltr" class="">Hi,
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<div class="">Is there a biopython parser for KEGG gene files. I was only able to find parsers for enzyme and compound files.</div>
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<div class="">Thanks,</div>
<div class="">Nafiz</div>
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<div dir="ltr" class=""><font color="#0b5394" face="verdana, sans-serif" style="font-size:12.8px" class="">Md Nafiz Hamid</font>
<div style="font-size:12.8px" class=""><font color="#0b5394" face="verdana, sans-serif" class="">Graduate Research Assistant</font></div>
<div style="font-size:12.8px" class=""><font color="#0b5394" face="verdana, sans-serif" class="">Bioinformatics and Computational Biology</font></div>
<div style="font-size:12.8px" class=""><font color="#0b5394" face="verdana, sans-serif" class="">Department of Veterinary Microbiology and Preventive Medicine</font></div>
<div style="font-size:12.8px" class=""><font color="#0b5394" face="verdana, sans-serif" class="">2178 Vet Med</font></div>
<div style="font-size:12.8px" class=""><font color="#0b5394" face="verdana, sans-serif" class="">Iowa State University</font></div>
<div style="font-size:12.8px" class=""><font color="#0b5394" face="verdana, sans-serif" class="">Ames, IA 50011-1250</font></div>
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Information and Computing Sciences Group; Weeds, Pests and Diseases Theme<br class="">
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