2013 GO Challenge: Difference between revisions
Jump to navigation
Jump to search
mNo edit summary |
No edit summary |
||
| Line 1: | Line 1: | ||
The question has been asked: | The question has been asked: | ||
'''''What is the most important scientific discovery made to date using GO resources or GO analysis?''''' | '''''What is the most important scientific discovery made to date using GO resources or GO analysis? Emphasis on discovery''''' | ||
THERE WILL BE A PRIZE | THERE WILL BE A PRIZE | ||
| Line 16: | Line 16: | ||
! Why? What's so Important? | ! Why? What's so Important? | ||
! Who Says | ! 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 | |15707487 | ||
| Line 36: | Line 41: | ||
|method for suggesting terms in the ontology | |method for suggesting terms in the ontology | ||
|Mike | |Mike | ||
|- | |- | ||
|23242164 | |23242164 | ||
Revision as of 15:51, 18 September 2013
The question has been asked:
What is the most important scientific discovery made to date using GO resources or GO analysis? Emphasis on discovery
THERE WILL BE A PRIZE
JUDGES: GO_TOP
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 |