Real-time Text Mining for the Biomedical Literature: A Collaboration between DiscoveryNet & myGrid
Home People Publications Contact Demo
Demo
   
   
 
   
   
Demo:

You can experience our system here:
http://don.dcs.shef.ac.uk:2006/GoTagDemo

 

Note:

At the website above, you can either search our existing documents, annotated with GO terms. There are a total of 371,211 medline abstracts, processed by lexical lookup method or IR method, indexed by lucene. Those abstracts are yeast-related genetic paper selected from PubMed.

Alternatively, you might also upload a list of PubMed ID (one line per PMID) and have our system process on the fly and browse the results.
Lastly, you may also type any texts of interest and see the GO concept assigned to the texts. Both are using the Lexical lookup approach.

Due to the complexity of the task, it would take some time for online processing.


©2005 NLP group, University of Sheffield
About the ProjectPeoplePublications Contact • Demo