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DTSTAMP:20260407T181501Z
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DTSTART:20250904T090000Z
DTEND:20250905T170000Z
DESCRIPTION:The videos of the lectures can be found on the [SIB Training Yo
 uTube channel](https://www.youtube.com/playlist?list=PLxHnvy2HZSYkkWaBOhJL
 ksZr-jZIiBnib).\n\n# Overview \nThe detection of genetic variation is of m
 ajor interest in various disciplines spanning from ecology and evolution r
 esearch to inherited disease discovery and precision oncology. Next genera
 tion sequencing (NGS) methods are very powerful for the detection of genom
 ic variants. Thanks to its throughput and cost-efficiency it enables the d
 etection of a large number of variants in a large number of samples. In th
 is two-day course we will cover the steps from read alignment to variant c
 alling and annotation. We will mainly focus on the detection of germline m
 utations by following the GATK best practices. The training materials for 
 this course are in its dedicated GitHub page.\n\n\n# Audience\nThis course
  is intended for life scientists who are already familiar with general con
 cepts of NGS technologies and want to expand their knowledge and skills on
  variant analysis.\n\n# Learning objectives\nAt the end of the course part
 icipants should be able to:\n\n	Understand important aspects of NGS and re
 ad alignment for variant analysis\n	Perform a read alignment ready for var
 iant analysis\n	Perform variant calling according to GATK best practices\n
 	Perform a variant annotation\n\n\n# Prerequisites\n### ***Knowledge / com
 petencies:***\nParticipants should have knowledge in NGS techniques\, qual
 ity control and alignment to a reference genome. Participants should have 
 a basic understanding of working with command line tools on Unix-based sys
 tems. You can test your skills with Unix with the quiz here. If you do not
  feel comfortable with UNIX commands\, please take our Unix fundamentals e
 -learning module.\n\n### ***Technical:***\nParticipants should have their 
 own computers. 	\n\n# Application\nRegistration fees are 200 CHF for acade
 mics and  1000 CHF for companies.   \n\nWhile participants are registered 
 on a first come\, first served basis\, exceptions may be made to ensure di
 versity and equity\, which may increase the time before your registration 
 is confirmed.  \n\nApplications will close once the places will be filled.
  Deadline for registration and free-of-charge cancellation is set to 27/08
 /2025. Cancellation after this date will not be reimbursed. Please note th
 at participation to SIB courses is subject to this and other general condi
 tions\, available here.\n\nYou will be informed by email of your registrat
 ion confirmation. Upon reception of the confirmation email\, participants 
 will be asked to confirm attendance by paying the fees within 5 days.\n\n#
  Location\nThis course will take place at the University of Bern.\n\nIt wi
 ll start at 9:15 and end around 17:15.\n\nPrecise information will be prov
 ided to the participants in due time.\n\n# Schedule\n\nThe schedule and co
 urse materials are in the dedicated [GitHub page](https://sib-swiss.github
 .io/NGS-variants-training/latest/course_schedule/). \n\n\n# Additional inf
 ormation\n\nCoordination: Valeria Di Cola\, SIB Training Group.\n\nWe will
  recommend 0.5 ECTS credits for this course (given a passed exam at the en
 d of the session). \n\nYou are welcome to register to the SIB courses mai
 ling list to be informed of all future courses and workshops\, as well as 
 all important deadlines using the form [here](https://lists.sib.swiss/mail
 man/listinfo/courses).\n\nPlease note that participation in SIB courses is
  subject to our [general conditions](https://www.sib.swiss/training/terms-
 and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://eli
 xir-europe.org/events/code-of-conduct). Participants of SIB courses are al
 so required to abide by the same code.\n\nFor more information\, please co
 ntact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:NGS - Genome Variant Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20250904_NGSGV
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