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DTSTAMP:20260716T195648Z
UID:51c88d45-781a-4d31-9529-312f5883f183
DTSTART:20240226T090000Z
DTEND:20240227T170000Z
DESCRIPTION:The videos of the lectures can be found on the [SIB YouTube cha
 nnel](https://www.youtube.com/playlist?list=PLoCxWrRWjqB3syM9-pdUSIClc2QkV
 MmH1).\n\n# Overview \nThe detection of genetic variation is of major inte
 rest in various disciplines spanning from ecology and evolution research t
 o inherited disease discovery and precision oncology. Next generation sequ
 encing (NGS) methods are very powerful for the detection of genomic varian
 ts. Thanks to its throughput and cost-efficiency it enables the detection 
 of a large number of variants in a large number of samples. In this two-da
 y course we will cover the steps from read alignment to variant calling an
 d annotation. We will mainly focus on the detection of germline mutations 
 by following the GATK best practices. The training materials for this cour
 se are in its dedicated GitHub page.\n\n\n# Audience\nThis course is inten
 ded for life scientists who are already familiar with general concepts of 
 NGS technologies and want to expand their knowledge and skills on variant 
 analysis.\n\n# Learning objectives\nAt the end of the course participants 
 should be able to:\n\n	Understand important aspects of NGS and read alignm
 ent for variant analysis\n	Perform a read alignment ready for variant anal
 ysis\n	Perform variant calling according to GATK best practices\n	Perform 
 a variant annotation\n\n\n# Prerequisites\n### ***Knowledge / competencies
 :***\nParticipants should have knowledge in NGS techniques\, quality contr
 ol and alignment to a reference genome. Participants should have a basic u
 nderstanding of working with command line tools on Unix-based systems. You
  can test your skills with Unix with the quiz here. If you do not feel com
 fortable with UNIX commands\, please take our Unix fundamentals e-learning
  module.\n\n### ***Technical:***\nParticipants should have their own compu
 ters. 	\n\n# Application\nRegistration fees are 200 CHF for academics and 
  1000 CHF for companies.   \n\nWhile participants are registered on a firs
 t come\, first served basis\, exceptions may be made to ensure diversity a
 nd equity\, which may increase the time before your registration is confir
 med.  \n\nApplications will close once the places will be filled. Deadline
  for registration and free-of-charge cancellation is set to 15/02/2024. Ca
 ncellation after this date will not be reimbursed. Please note that partic
 ipation to SIB courses is subject to this and other general conditions\, a
 vailable here.\n\nYou will be informed by email of your registration confi
 rmation. Upon reception of the confirmation email\, participants will be a
 sked 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 will start 
 at 9:15 and end around 17:15.\n\nPrecise information will be provided to t
 he participants in due time.\n\n# Schedule\n\nThe schedule and course mate
 rials are in the dedicated [GitHub page](https://sib-swiss.github.io/NGS-v
 ariants-training/latest/course_schedule/). \n\n\n# Additional information\
 n\nCoordination: Monique Zahn\, SIB Training group.\n\nWe will recommend 0
 .5 ECTS credits for this course (given a passed exam at the end of the ses
 sion). \n\nYou are welcome to register to the SIB courses mailing list to
  be informed of all future courses and workshops\, as well as all importan
 t deadlines using the form [here](https://lists.sib.swiss/mailman/listinfo
 /courses).\n\nPlease note that participation in SIB courses is subject to 
 our [general conditions](https://www.sib.swiss/training/terms-and-conditio
 ns).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.o
 rg/events/code-of-conduct). Participants of SIB courses are also required 
 to abide by the same code.\n\nFor more information\, please contact [train
 ing@sib.swiss](mailto://training@sib.swiss).
SUMMARY:NGS - Genome Variant Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20240226_NGSGV
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