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DESCRIPTION:# Overview \nThe detection of genetic variation is of major int
 erest in various disciplines spanning from ecology and evolution research 
 to inherited disease discovery and precision oncology. Next generation seq
 uencing (NGS) methods are very powerful for the detection of genomic varia
 nts. 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-d
 ay course we will cover the steps from read alignment to variant calling a
 nd annotation. We will mainly focus on the detection of germline mutations
  by following the GATK best practices. The training materials for this cou
 rse are in its dedicated GitHub page.\n\n\n# Audience\nThis course is desi
 gned for PhD students\, postdoctoral and other researchers in the life sci
 ences from both academia and industry who are already familiar with genera
 l concepts of NGS technologies and want to expand their knowledge and skil
 ls on variant analysis.\n\n# Learning objectives\nAt the end of the course
  participants should be able to:\n* **Interpret** important aspects of NGS
  and read alignment for variant analysis\n* **Execute** a read alignment r
 eady for variant analysis\n* **Execute** variant calling according to GATK
  best practices\n* **Execute** a variant annotation\n\n\n# Prerequisites\n
 ### ***Knowledge / competencies:***\nParticipants should have knowledge in
  NGS techniques\, quality control and alignment to a reference genome. Par
 ticipants should have a basic understanding of working with command line t
 ools on Unix-based systems. You can test your skills with Unix with the qu
 iz here. If you do not feel comfortable with UNIX commands\, please take o
 ur Unix fundamentals e-learning module.\n\n### ***Technical:***\nParticipa
 nts should have their own computers. 	\n\n# Application\nRegistration fees
  are 200 CHF for academics and  1000 CHF for companies.   \n\nWhile partic
 ipants are registered on a first come\, first served basis\, exceptions ma
 y be made to ensure diversity and equity\, which may increase the time bef
 ore your registration is confirmed.  \n\nApplications will close once the 
 places will be filled. Deadline for registration and free-of-charge cancel
 lation is set to 28/05/2026. Cancellation after this date will not be reim
 bursed. Please note that participation to SIB courses is subject to this a
 nd other general conditions\, available here.\n\nYou will be informed by e
 mail of your registration confirmation. Upon reception of the confirmation
  email\, participants will be asked to confirm attendance by paying the fe
 es within 5 days.\n\n# Location\nThis course will take place at the Univer
 sity of Basel.\n\nIt will start at 9:00 and end around 17:00.\n\nPrecise i
 nformation will be provided to the participants in due time.\n\n# Schedule
 \n\nThe schedule and course materials are in the dedicated [GitHub page](h
 ttps://sib-swiss.github.io/NGS-variants-training/latest/course_schedule/).
  \n\n\n# Additional information\n\nCoordination: Valeria Di Cola\, SIB Tra
 ining Group.\n\nA **Certificate of Attendance** will be sent provided you 
 were present at the course\, whereas a **Certificate of Achievement** reco
 mmending 0.5 ECTS will be sent provided you passed the exam.\n\nYou are we
 lcome to register to the SIB courses mailing list to be informed of all fu
 ture courses and workshops\, as well as all important deadlines using the 
 form [here](https://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease n
 ote that participation in SIB courses is subject to our [general condition
 s](https://www.sib.swiss/training/terms-and-conditions).\n\nSIB abides by 
 the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-cond
 uct). Participants of SIB courses are also required to abide by the same c
 ode.\n\nFor more information\, please contact [training@sib.swiss](mailto:
 //training@sib.swiss).
SUMMARY:NGS - Genome Variant Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20260611_NGSGV
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