Gene Ontology Official Workshop, Montreal, October 16, 2018
The Gene Ontology (GO) is one of the most widely used bioinformatics resource in the world. Because of the staggering complexity of biological systems and the ever-increasing size of datasets to analyze, biomedical research is becoming increasingly dependent on knowledge stored in computable form. The GO project provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products.
The GO Consortium develops an up-to-date, comprehensive, computational model of biological systems, from the molecular level to larger pathways, cellular and organism-level systems. GO defines an ontology is composed of classes (or concepts) that can be used to describe gene function, and relationships between these concepts. The highly structure of GO makes it ideally amenable to computational analysis.
Who should attend: The meeting aims to bring together students and researchers who:
* use GO in any aspect of their work
* want to expand the knowledge on GO
* want to acquire hands-on experience with the GO resource
* encourage exchanges on problems and solutions, and foster collaborations
* discuss projects with other users as well as with developers of the GO.
Schedule: The morning session will be a training session, with presentations on the GO resources and on specific tools by GO Consortium members. The afternoon session will be dedicated to oral and poster presentations from participants.
Abstract submission: We are inviting interested participants to submit abstracts on any project related to GO or using GO directly or indirectly, for example in data analysis applications, data display, text mining, etc.
When: October 16th, 2018, 9:00 to 18:00
Where: Pavillion JF Kennedy (PK), University of Quebec in Montreal (UQAM), Montreal, Canada
To submit an abstract: https://easychair.org/cfp/GOW2018
Oct 4: Abstract submission deadline
Oct 8: Acceptance notification
Oct 16: GO workshop at UQAM
All questions about submissions should be emailed to email@example.com