2013 GO Challenge
The question has been asked:
What is the most important scientific discovery made to date using GO resources or GO analysis?
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 |
|---|---|---|---|
| 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 |
| 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 |