Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining
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* Corresponding author: Kristina M Hettne k.hettne@erasmusmc.nl
1 Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
2 Department of Health Risk Analysis and Toxicology, Maastricht University, Maastricht, The Netherlands
3 Royal Society of Chemistry, 904 Tamaras Circle, Wake Forest, NC-27587, USA
Journal of Cheminformatics 2010, 2:4 doi:10.1186/1758-2946-2-4
The electronic version of this article is the complete one and can be found online at: http://www.jcheminf.com/content/2/1/4
| Received: | 1 June 2010 |
| Accepted: | 3 June 2010 |
| Published: | 3 June 2010 |
© 2010 Hettne et al; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Correction
In 'Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining' (Hettne et al. Journal of Cheminformatics 2010, 2:3) [1], the name of the automatically curated dictionary is identified as 'Chemlist'. CHEMLIST is a trademark that the American Chemical Society has used for many years to identify its Regulated Chemicals Listing (CAS) database. To avoid future confusion, the 'Chemlist' dictionary mentioned in this article has been renamed to 'Jochem.'
References
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Hettne KM, Williams AJ, van Mulligen EM, Kleinjans J, Tkachenko V, Kors JA: Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining.
J Cheminform 2010, 2:3. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text