2013 GO Challenge

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The question has been asked:

What is the most important scientific discovery made to date using GO resources or GO analysis? Emphasis on discovery



Post your submissions (PUBMED ID) here, with 2+ sentence 'why', with your name. One submission per person, but you can change your submission up until Oct 4.

PMID Title Why? What's so Important? Who Says
20531469 Functional impact of global rare copy number variation in autism spectrum disorders A mostly GO-based pathway analysis of this rare copy number GWAS data set identified numerous new pathways associated with autism spectrum disorder. See http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3021798/figure/F3/ The paper has been cited almost 600 times since July 2010 Gary Bader
15707487 Ontological visualization of protein-protein interactions A great idea ; ahead of it's time. Hurdil
PMID:22434836 CvManGO, a method for leveraging computational predictions to improve literature-based Gene Ontology annotations. how good are computational annotations compared to manual Edith
22693439 Quality of computationally inferred gene ontology annotations. first paper that did this kind of Analysis on GO annotations Rama
23242164 Gene Ontology inferred from molecular networks method for suggesting terms in the ontology Mike
23242164 Gene Ontology Cellular Component inferred from interactions Showing the the GO is mostly right ! Mike
11829497 Profiling gene expression using onto-express The first published enrichment tool (I think!) to use GO functional information from public databases to functionally analyse large datasets ("allowing the user to effortlessly determine which genes were identified in each functional group"), paving the way for the numerous enrichment tools (and therefore important discoveries) we have now. Rachael
15254011 Gene-Ontology analysis reveals association of tissue-specific 5′ CpG-island genes with development and embryogenesis These results provide strong support for previous speculations that early embryonic expression is associated with CpG islands- a great example of how GO is relevant in the world of scientific research and how GO annotation can direct and inform scientific endeavours! Prudence
17082449 Accelerated evolution of conserved noncoding sequences in humans A very simple and elegant study addressing human-specific evolution. Gene ontology analysis provides the data that the accelerated evolutionary rates are observed for conserved noncoding regions accompanying the genes involved in neuronal cell adhesion. Aleks