UoM Smart Dictionary Lookup Tool v1.0.1 (Y. Sasaki, PhD, University of Manchester)

BOOTStrep REST Web Service

Item

Description

Web Service Group

BOOTSTrepWP03Toolkit

Web Service Name

UoM Smart Dictionary Lookup Tool v1.0.1

Web Service URI

http://text0.mib.man.ac.uk/~sasaki/bootstrep/mldic.cgi

Author

Dr. Yutaka Sasaki, PhD, University of Manchester

Function

Lookup term variations of a given gene/protein name based on an automatically trained similarity measure

Usage

http://text0.mib.man.ac.uk/~sasaki/bootstrep/mldic.cgi?Input=TERM& Argument=SPECIES&SubscriptionID=ID

Input = term to find variations

Argument = species name (HUMAN, MOUSE, E.COLI, YEAST, DROSOPHILA)

SubscriptionID = (for future use)

Out

Output = list of the following XML entry
<MLDIC id="ID" entry="TERM" prob="PROBABILITY"/>

Example

Gene/protein names that are similar to human "NF-Kappa B" would be:
<MLDIC id="P19838" word="NF-kappa-B" prob="0.92"/>
<MLDIC id="Q8N5F7" word="NKAP" prob="0.75"/>
<MLDIC id="O00221" word="NF-kappa-BIE" prob="0.62"/>
<MLDIC id="O00221" word="I-kappa-B-epsilon" prob="0.48"/>
...

Demonstration

sample client code in Perl

mldic_client.pl (alpha version)

WSDL (2.0)

mldic.wsdl (alpha version)

Terms of Use

By using this web sevice, 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:
Yoshimasa Tsuruoka, John McNaught, Jun'ichi Tsujii, and Sophia Ananiadou. 2007. Learning string similarity measures for gene/protein name dictionary look-up using logistic regression, Bioinformatics, Vol. 23, No. 20, pp. 2768-2774.
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 thta 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: 28 April 2009
by Y. Sasaki, Text Mining Group, School of Computer Science, University of Manchester