Annotation Conf. Call 2016-11-22

Agenda

1. 2016 Progress Reports
2. github go-annotation tracker will house and track action items from GO meetings, e.g. USC 2016
3. Annotation Consistency Exercise - Sabrina, Zfin

• Publication : PMID-27545838 (https://www.ncbi.nlm.nih.gov/pubmed/27545838)
• presentation: https://drive.google.com/file/d/0B70QUYaXybRYZXdsSUtHMDVHVHM/view?usp=sharing
• model by Sabrina: http://noctua.berkeleybop.org/editor/graph/gomodel:5824c51a00000007
• model by Kimberly: http://noctua.berkeleybop.org/editor/graph/gomodel:5825564b00000062

Minutes

• On call: Barbara, Chris, David H., Doug, George, Giulia, Helen, Jim, Kimberly, Li, Midori, Moni, Paola, Paul T. Petra, Sabrina, Stacia, Suzi, Tanya

Progress Reports

• Organized by aims in accordance with NIH specs
• Google folder has templates
• Groups need to fill out their progress as they have previously, but in the appropriate Specific Aims
• Tables are still very useful for progress reports, but now they can either be embedded in the Google doc or in a separate spreadsheet
• MOD = institution
• Other work that specifically addresses the aims and crosses institutions, e.g. ontology development, annotation, can go directly into the main report

GO-Annotation Tracker on github

• Action items from USC meeting will be tracked on Gene Ontology's go-annotation repo in github
• We will review these action items in coming meetings

Annotation Consistency Exercise

• Zebrafish paper: Fscn1 is required for the trafficking of TGF-β family type I receptors during endoderm formation.
• Key points:
  • Each gene product represented in the model must be associated with a molecular function, even if it is to the root node
  • Using inferred relations vs making direct connections, for example when a gene product is part_of process #1 that is causally_upstream_of process #2. By inference, the gene product would then also be causally_upstream_of process #2. The inferred relations will eventually be generated.