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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260809T092140Z
UID:27c7c477-bcc6-4505-90d8-f4df9f9d1ba4
DTSTART:20200729T130000Z
DTEND:20200730T150000Z
DESCRIPTION:This event introduces participants to the [KNIME](https://www.k
 nime.com/) Analytics Platform\, an open source data science platform with 
 a visual workflow editor\, that can be used by users without prior program
 ming experience or integrated with existing scripts written in R or Python
 .\n\nThese sessions are aimed towards anyone who has an interest in buildi
 ng data science workflows with different kinds of life science data. The s
 essions will cover how to aggregate data from different sources (e.g.\, fi
 les\, databases\, web services)\, how to calculate simple statistics (e.g.
 \, for data exploration)\, network mining (e.g.\, protein-protein interact
 ions) and big data analytics (e.g.\, next-generation sequencing data).\n \
 nThe webinar will combine practical and taught content to demonstrate how 
 users can use KNIME to design and utilise reproducible data science workfl
 ows\, such as analytics tasks\, and better explore and understand their da
 ta.\n\n\nPlease note that if you are not eligible for a University of Camb
 ridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will
  need to book or register your interest by linking [here](http://bioinfotr
 aining.bio.cam.ac.uk/booking-form/?event-id=3508000&amp\;course-title=KNIM
 E%20webinar).''
LOCATION:Craik-Marshall Building
SUMMARY:KNIME: Practical introduction to KNIME Analytics platform and its a
 pplication in bioinformatics (Webinar)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3508000
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