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DTSTAMP:20260407T181334Z
UID:cf55b14a-84aa-4877-a498-0d60b9e086b7
DTSTART:20260630T090000Z
DTEND:20260630T170000Z
DESCRIPTION:Attendance is free of charge\; however\, registration is mandat
 ory.\n\n# Overview\nThe [Gene Ontology (GO)](https://geneontology.org/) is
  a framework used to describe gene functions with respect to biological pr
 ocesses\, molecular functions\, and cellular components. GO is critical in
  providing a standardized vocabulary that enables consistent gene function
  annotation and comparison across species. \n\nThis 0.5-day course is taug
 ht by developers of GO and annotators at [UniProt](https://www.uniprot.org
 /)\, the world’s leading high-quality\, comprehensive and freely accessi
 ble resource of protein sequence and functional information. Participants 
 will learn about GO and the different GO annotation processes: the standar
 d GO annotation\, the network-based detailed GO-CAM (Gene Ontology Causal 
 Activity Models)\, and the PAN-GO (Phylogenetic ANnotation using Gene Onto
 logy) approach which integrates evolutionary and network information. Hand
 s-on guidance will be provided on how to navigate GO data through key bioi
 nformatics resources such as UniProt\, QuickGO\, and AmiGO\, focusing on h
 ow to access\, interpret\, and visualize GO annotations. Finally\, the cou
 rse introduces the concept of GO annotation enrichment\, explaining how en
 richment analysis can help identify overrepresented biological processes o
 r functions in experimental datasets. By the end of the session\, particip
 ants will have a solid understanding of how GO supports gene function anno
 tation\, analysis\, and data interpretation in genomics research. \n\n# Au
 dience\nThis course is designed for PhD students\, postdoctoral and other 
 researchers in the life sciences from both academia and industry who are i
 nterested in protein function\, and how these are tied to biological proce
 sses and pathways.\n\n# Learning outcomes\nAt the end of the course\, part
 icipants are expected to: \n* State what Gene Ontology is and how it’s u
 sed for gene function annotation.\n* Distinguish the different GO annotati
 on processes: standard GO annotation\, GO-CAM and PAN-GO.\n* Locate GO dat
 a in UniProt\, QuickGO and AmiGO.\n* Use the big data analysis technique o
 f Gene Ontology enrichment analysis. \n\n# Prerequisites\n##### Knowledge 
 / competencies\nThis course is designed for beginners. However\, knowledge
  of protein\, molecular and cellular biology is required.  \n\nWe suggest 
 participants watch the video [Inside expert biocuration in UniProtKB/Swiss
 -Prot](https://www.youtube.com/watch?v=wvrCJtJnDbo&amp\;t=754s&amp\;pp=ygU
 zIkluc2lkZSBleHBlcnQgYmlvY3VyYXRpb24gaW4gVW5pUHJvdEtCL1N3aXNzLVByb3Qi) and
  complete the free e-learning course [Vocabularies for bioinformatics](htt
 ps://edu.sib.swiss/course/view.php?id=619) **prior to the course.**\n\n###
 ## Technical\nParticipants are required to have their own computer with an
  Internet connection. All the suggested resources are available via online
  tools\, and do not require any coding skills.\n\n# Application\nAttendanc
 e is free of charge\; however\, registration is mandatory. Applications wi
 ll close on **25/06/2026**.\n\nPlease note that participation in SIB cours
 es is subject to our [general conditions](https://www.sib.swiss/training/t
 erms-and-conditions).\n\n# Venue and Time\nThis course will be streamed us
 ing Zoom.\n\nIt will start at 14:00 CET (08:00 EST) and end around 18:00 C
 ET (12:00 EST). \n\nPrecise information will be provided to registered par
 ticipants in due course.\n\n#  Additional information\nCoordination: Moniq
 ue Zahn\, SIB Training group.\n\nYou are welcome to register to the SIB co
 urses mailing list to be informed of all future courses and workshops\, as
  well as all important deadlines using the form [here](https://lists.sib.s
 wiss/mailman/listinfo/courses).\n\nPlease note that participation in SIB c
 ourses is subject to our [general conditions](https://www.sib.swiss/traini
 ng/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](ht
 tps://elixir-europe.org/events/code-of-conduct). Participants of SIB cours
 es are also required to abide by the same code.\n\nFor more information\, 
 please contact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Using the Gene Ontology Annotations in UniProt
URL;VALUE=URI:https://www.sib.swiss/training/course/20260630_GOAUP
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