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DTSTAMP:20260619T005758Z
UID:bb3bcafd-b933-4ad1-8280-30706fea7183
DTSTART:20201026T090000Z
DTEND:20201029T123000Z
DESCRIPTION:Educators:\nBálint Mészáros\, Matt Rogon\, Renato Alves (HD-
 HuB)\n\nDate:\n26 - 29 October\n9:00 - 12:30\n\nLocation:\nOnline Meeting 
 (connection details after registration)\n\nContent:\nOntologies are the pr
 imary means to store biological data about genes\, proteins\, and other bi
 ological entities in an accessible and unambiguous way. These ontologies a
 re hierarchical collections of descriptive terms\, typically represented a
 s networks (graphs)\, serving as a fundamental structure to store biologic
 al knowledge. The use of ontology-based enrichment and network representat
 ions to infer biological properties of gene and protein sets identified in
  experiments\, is now ubiquitous. Consequently\, a solid understanding and
  fluency in ontology-based approaches is an essential skill in a wide rang
 e of biological fields.\n\nLearning goals:\nDuring this 4-day online cours
 e participants will learn how to access and utilize biological ontologies 
 (mainly Gene Ontology) to arrive at sound biological inferences using stan
 dard and customized enrichment analyses and network visualization.\n\nDuri
 ng the course you will learn how to:\n\n- access gene and pathway ontologi
 es to build high-quality maps for data interpretation and visualisation\;\
 n\n- customize query data as well as databases themselves to deal with a w
 ide range of biases and produce reliable results using online tools\, Cyto
 scape\, and R packages\;\n\n- explore Gene Ontology\, KEGG and Reactome da
 tabases\;\n\n- understand\, utilize and create sub-ontologies to address s
 pecific biological questions by executing enrichment analyses\;\n\n- Use R
 -based packages to automate\, accelerate and create reproducible analyses\
 ;\n\n- be able to interpret and assess the quality of GeneOntology analyse
 s in publications by understanding the strengths and limitations of enrich
 ment calculations.\n\nAfter the course you will be able to independently e
 xtract data from public resources\, assess their quality\, annotate your o
 wn networks and biomolecules in Cytoscape\, extract data using R\, and cri
 tically interpret the results.\n\nPrerequisites:\n\nThis course is an intr
 oduction to ontologies\, however we require:\n\n- working knowledge of Cyt
 oscape (e.g. introductory level course by Matt Rogon from EMBL CBNA https:
 //git.embl.de/rogon/introduction-to-cytoscape-and-network-biology)\n\n- ba
 sic knowledge of R (data structures\, file operations etc.) - e.g. introdu
 ctory level course by EMBL CSDA (https://git.embl.de/klaus/tidyverse_R_int
 ro) or EMBL Bio-IT (https://bio-it.embl.de/events/introduction-to-r/)\n\nK
 eywords:\nOntologies \,statistics\, biases\, tools\, networks\, interpreta
 tion\, R\, Cytoscape
SUMMARY:Ontologies - statistics\, biases\, tools\, networks\, and interpret
 ation 
URL;VALUE=URI:https://www.denbi.de/training/987-ontologies-statistics-biase
 s-tools-networks-and-interpretation
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