LitMiner - Mining the biomedical literature
WE ARE conceiving and developing tools to leverage access to the biomedical literature for researchers in molecular biology. We have put a
number of our tools in an integrated and interactive toolbox named LitMiner.
SOME of the tools in LitMiner include:
- Query expansion for genes through their official aliases as well as lexical rules
- Analysis of co-occurrance in literature for (multiple) genes as well as other concepts
- Graph visualisation of inferred relationships between concepts
- Improved access to full text versions of publications
THE TEAM consists of:
- Lynn Wei
- Svetlana Kiritchenko
- Berry de Bruijn
- Chengbi Dai
- Darrell Ferguson
- Joel Martin
- Norm Vinson
Publications:
-
Martin, J. Fast and Furious Text Mining. Fast and Furious Text Mining. IEEE Data Eng. Bull. 28(4): 11-20 (2005)
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de Bruijn, B. and Martin, J., Finding gene function using LitMiner, Proc. Text Retrieval Conference (TREC), 451--459, 2003.
- de Bruijn B, Martin J: Getting to the (c)ore of knowledge: mining biomedical literature. Int J Med Inf 2002 Dec;67(1-3):7-18.
See PubMed,
Publisher's site,
BNLPB record
- Donaldson I, Martin J, De Bruijn B, Wolting C, Lay V, Tuekam B, Zhang S, Baskin B, Bader GD, Michalickova K, Pawson T, Hogue CW:
PreBIND and Textomy - mining the biomedical literature for protein-protein interactions using a support vector machine. BMC Bioinformatics 2003 Mar 27;4(1):11.
See PubMed,
CiteSeer,
Publisher's site,
BNLPB record
Interested in finding out more?
For information about testing or obtaining LitMiner or components thereof, please contact Randall Milburn (randall.milburn@nrc.gc.ca; 613-990-6590).