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CALSCALE:GREGORIAN
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DTSTAMP:20260820T220408Z
UID:e99ac6dc-1332-4ca4-8858-1843836c3124
DTSTART:20231018T083000Z
DTEND:20231019T120000Z
DESCRIPTION:The Unix shell (command line) is a powerful and essential tool 
 for modern researchers\, in particular those working in computational disc
 iplines such as bioinformatics and large-scale data analysis. In this cour
 se we will explore the basic structure of the Unix operating system and ho
 w we can interact with it using a basic set of commands. You will learn ho
 w to navigate the filesystem\, manipulate text-based data and combine mult
 iple commands to quickly extract information from large data files. You wi
 ll also learn how to write scripts\, use programmatic techniques to automa
 te task repetition\, and communicate with remote servers (such as High Per
 formance Computing servers). \n\n\nIf you do not have a University of Camb
 ridge [Raven account](https://legacy.raven.cam.ac.uk/auth/account/) please
  book or register your interest [here](http://bioinfotraining.bio.cam.ac.u
 k/booking-form/?event-id=4793699&amp\;course-title=Introduction%20to%20wor
 king%20with%20Unix%20and%20bash%20online).\n\nAdditional information\n\n* 
 Our courses are only free for registered University of Cambridge students.
  All other participants will be charged according to our  [charging policy
 ](http://www.training.cam.ac.uk/bioinformatics/info/charging).\n* Attendan
 ce will be taken on all courses and a charge is applied for non-attendance
 \, including for University of Cambridge students. After you have booked a
  place\, if you are unable to attend any of the live sessions\, please ema
 il the [Bioinfo Team](https://training.csx.cam.ac.uk/bioinformatics/info/c
 ontact).\n* Further details regarding eligibility criteria are available [
 here](http://www.training.cam.ac.uk/bioinformatics/info/eligibility).
LOCATION:Craik-Marshall Building
SUMMARY:Introduction to working with UNIX and bash (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4793699
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