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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T230113Z
UID:5f12852a-d10f-425e-bcb1-ee9a81338b11
DTSTART:20180329T093000Z
DTEND:20180330T170000Z
DESCRIPTION:\n​​Understand what Biopython is and what it can do.\nLearn
  how to get Biopython running.\nLearn how to retrieve data records from NC
 BI.\nLearn how to read and write sequence files.\nLearn how to run BLAST f
 rom Python and read the results.\nLearn how to read and write phylogenetic
  tree files.\nLearn how to read and write 3D structure files.\nLearn how t
 o use the Biopython documentation\, examples\, and where to\nfind help.\nU
 nderstand what alternatives to Biopython exist and what they can do.\n \n
 \n\n \nBiopython is the best-known Python library to process biological da
 ta.\nThis training is aimed to empower you to use Biopython to make your r
 esearch\nmore efficient. \nThe first day of the training is to give an ove
 rview of Biopython. You\nare going to start with your first steps in Biopy
 thon on the command line.\nAfterwards\, you will take a tour of the most i
 mportant components: sequences\,\nNCBI queries\, BLAST\, trees\, and 3D st
 ructures. You will try each of these\nmodules on practical examples. Pleas
 e don't hesitate to ask questions about\nPython basics or particular data 
 formats (e.g. XML or NGS data).\nThe second day of the training is to broa
 den your perspective: What\nother features does the library have? How can 
 you use the documentation\neffectively? What is Biopython not capable of?
  \nWhat can I do to visualize my data? Are there alternatives? If you hav
 e\nyour own data that you would like to work on with Biopython in more det
 ail\,\nthere is room for that.\nFor me\, the most important thing is to id
 entify concrete Python modules\nand functions that help you to get your re
 search done.\nParticipants are encouraged to submit a description of their
  research\ntopic and/or the questions they would like to answer with Biopy
 thon.\nAdditionally\, participants can bring their own data that they woul
 d like to\nprocess in Python to the training.\n\n\n \n\n\n\n \n\n

LOCATION:BioAccelerator
SUMMARY:Introduction to Biopython
URL;VALUE=URI:http://www.vib.be/en/training/research-training/courses/Pages
 /Introduction-to-Biopython.aspx
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