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Advances in Bioinformatics
Volume 2013 (2013), Article ID 320436, 2 pages
http://dx.doi.org/10.1155/2013/320436
Editorial

Literature Mining Solutions for Life Science Research

1Disease Translational Informatics, F. Hoffmann-La Roche Inc., Nutley, NJ 07110, USA
2School of Computer Science and Manchester Institute of Biotechnology, University of Manchester, Manchester M13 9PL, UK
3European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
4Institut für Computerlinguistik, Universität Zürich, 8050 Zürich, Switzerland
5Database Center for Life Science (DBCLS), Research Organization of Information and Systems (ROIS), Tokyo 113-0032, Japan

Received 11 December 2012; Accepted 11 December 2012

Copyright © 2013 Jörg Hakenberg et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jörg Hakenberg, Goran Nenadic, Dietrich Rebholz-Schuhmann, and Jin-Dong Kim, “Literature Mining Solutions for Life Science Research,” Advances in Bioinformatics, vol. 2013, Article ID 320436, 2 pages, 2013. doi:10.1155/2013/320436