Perform a text-mining analysis of an input text document using the EBI's Whatizit tool (http://www.ebi.ac.uk/webservices/whatizit/info.jsf).
Whatizit provides a number of text-mining pipelines which can can detect various terms of biological interest in text documents. For example finding gene names and mapping them to UniProtKB identifiers, finding chemical terms and mapping them to ChEBI, etc.
Process an input text document using a Whatizit pipeline.
http://www.ebi.ac.uk/webservices/whatizit/ws?wsdl
contact
Build the input parameters data structure. Wraps the Whatizit pipeline name and the text document.
org.embl.ebi.escience.scuflworkers.java.XMLInputSplitter
Unwrap the XML result.
org.embl.ebi.escience.scuflworkers.java.XMLOutputSplitter
Name of the Whatizit text-mining pipeline to use. For example: whatizitSwissprot
See the results of the getPipelinesStatus() method for a complete list of the available pipelines and their status.
Input text to process.
For example: NPY, BRCA1, Brca2 and Ca2
text/xml
Whatizit analysis result.