UoM Yeast MetaboliNER v1.0.1 (C. Nobata, PhD, University of Manchester)

Item	Description
Web Service Name	UoM Yeast MetaboliNER Tool v1.0.1
Web Service URI	http://www.nactem.ac.uk/metaboliner/yeast_metaboliner.cgi
Author	Dr. Nobata, PhD, University of Manchester
Function	Recognize yeast metabolite names in text
Usage	http://www.nactem.ac.uk/metaboliner/yeast_metaboliner.cgi with POSTDATA (upto 40KB)
In	Input = a sentence SubscriptionID = "guest" for less than 100 hits/day. You need to obtain a subscription ID for more intensive use.
Out	Output = List of <METABOLITE sid=START_POSITION eid=END_POSITION* ne=METABOLITE_NAME prob=PROBABILITY/>*
Example	Given a sentence, e.g. "Galactose is a type of sugar that is less sweet than glucose." NE outputs will be <METABOLITE sid="0" eid="9" ne="Galactose" prob="0.92078"/> <METABOLITE sid="53" eid="60" ne="glucose" prob="0.99230"/>
Demonstration	Input SubscriptionID:
sample client code in Perl	yeast_metaboliner_client.pl (alpha version)
WSDL file	yeast_metaboliner.wsdl (alpha version)

Terms of Use

By using this web service, you agree to the general Terms and Conditions of Use for the NaCTeM Website, in addition to the following Terms of Use:

Please let us know that you are using this web service by email.
Please cite the following paper when publishing work that uses this web service:
Chikashi Nobata, Paul D. Dobson, Syed A. Iqbal, Pedro Mendes, Jun'ichi Tsujii, Douglas B. Kell and Sophia Ananiadou. Mining metabolites: extracting the yeast metabolome from the literature. Metabolomics, 2010.
Please credit and link to the NaCTeM website (http://nactem.ac.uk) in any electronic services based on this web service or resulting data.
Please contact us in advance if you plan to use the service for bulk processing. This web service is a freely available service from the academic domain. Therefore, please understand that it is necessary to contain server load and give preference to individual users. Excessive server load may result in IP addresses or institutions being blocked from using the web service.

Last updated: 13 January 2011
by C. Nobata, Text Mining Group, School of Computer Science, University of Manchester