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literature.bib
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% This file was created with JabRef 2.9.2.
% Encoding: UTF-8
@ARTICLE{Belleau:2008,
author = {Belleau, Fran\c{c}ois and Nolin, Marc-Alexandre and Tourigny, Nicole
and Rigault, Philippe and Morissette, Jean},
title = {Bio2RDF: Towards a Mashup to Build Bioinformatics Knowledge Systems},
journal = {J. of Biomedical Informatics},
year = {2008},
volume = {41},
pages = {706--716},
number = {5},
month = oct,
acmid = {1435210},
address = {San Diego, USA},
doi = {10.1016/j.jbi.2008.03.004},
issn = {1532-0464},
issue_date = {October, 2008},
keywords = {Bioinformatics database, Knowledge integration, Mashup, Ontology,
Semantic web},
numpages = {11},
publisher = {Elsevier Science},
url = {http://dx.doi.org/10.1016/j.jbi.2008.03.004}
}
@ARTICLE{sider,
author = {Kuhn, Michael and Letunic, Ivica and Jensen, Lars Juhl and Bork,
Peer},
title = {The SIDER database of drugs and side effects},
journal = {Nucleic Acids Research},
year = {2015},
abstract = {Unwanted side effects of drugs are a burden on patients and a severe
impediment in the development of new drugs. At the same time, adverse
drug reactions (ADRs) recorded during clinical trials are an important
source of human phenotypic data. It is therefore essential to combine
data on drugs, targets and side effects into a more complete picture
of the therapeutic mechanism of actions of drugs and the ways in
which they cause adverse reactions. To this end, we have created
the SIDER (‘Side Effect Resource’, http://sideeffects.embl.de) database
of drugs and ADRs. The current release, SIDER 4, contains data on
1430 drugs, 5880 ADRs and 140 064 drug–ADR pairs, which is an increase
of 40% compared to the previous version. For more fine-grained analyses,
we extracted the frequency with which side effects occur from the
package inserts. This information is available for 39% of drug–ADR
pairs, 19% of which can be compared to the frequency under placebo
treatment. SIDER furthermore contains a data set of drug indications,
extracted from the package inserts using Natural Language Processing.
These drug indications are used to reduce the rate of false positives
by identifying medical terms that do not correspond to ADRs.},
doi = {10.1093/nar/gkv1075},
eprint = {http://nar.oxfordjournals.org/content/early/2015/10/19/nar.gkv1075.full.pdf+html},
url = {http://nar.oxfordjournals.org/content/early/2015/10/19/nar.gkv1075.abstract}
}
@ARTICLE{Sioutos:2007,
author = {Sioutos, Nicholas and Coronado, Sherri de and Haber, Margaret W.
and Hartel, Frank W. and Shaiu, Wen-Ling and Wright, Lawrence W.},
title = {NCI Thesaurus: A Semantic Model Integrating Cancer-related Clinical
and Molecular Information},
journal = {J. of Biomedical Informatics},
year = {2007},
volume = {40},
pages = {30--43},
number = {1},
month = feb,
acmid = {1222800},
address = {San Diego, USA},
doi = {10.1016/j.jbi.2006.02.013},
issn = {1532-0464},
issue_date = {February, 2007},
keywords = {Biomedical vocabulary, Cancer research, Cancer terminology, Disease
model, Ontology development},
numpages = {14},
publisher = {Elsevier Science},
url = {http://dx.doi.org/10.1016/j.jbi.2006.02.013}
}
@ARTICLE{drugbank,
author = {Wishart, David S. and Knox, Craig and Guo, Anchi and Shrivastava,
Savita and Hassanali, Murtaza and Stothard, Paul and Chang, Zhan
and Woolsey, Jennifer},
title = {DrugBank: a comprehensive resource for in silico drug discovery and
exploration.},
journal = {Nucleic Acids Research},
year = {2006},
volume = {34},
pages = {668-672},
number = {Database-Issue},
added-at = {2007-02-02T00:00:00.000+0100},
biburl = {http://www.bibsonomy.org/bibtex/225a81bb52c8a7b58fbfdaea13350c9d5/dblp},
date = {2007-02-02},
ee = {http://dx.doi.org/10.1093/nar/gkj067},
url = {http://dblp.uni-trier.de/db/journals/nar/nar34.html#WishartKGSHSCW06}
}
@MISC{rdf-1.1-primer,
title = {{RDF} 1.1 Primer [Internet]},
month = {February},
year = {2014},
note = {[updated 2014 February 25; cited 2016 January 4th]},
citeulike-article-id = {13432228},
citeulike-linkout-0 = {http://www.w3.org/TR/rdf11-primer/},
editor = {Schreiber, Guus and Raimond, Yves},
institution = {World Wide Web Consortium},
posted-at = {2014-11-17 18:05:44},
priority = {2},
publisher = {World Wide Web Consortium},
url = {http://www.w3.org/TR/rdf11-primer/}
}
@MISC{atc-guidelines,
title = {Guidelines for ATC classification and DDD assignment, 2014 [Internet]},
year = {2009},
note = {[updated 2015 December 18; cited 2016 January 4th]},
citeulike-article-id = {7091264},
keywords = {drug-classification},
location = {Oslo},
posted-at = {2010-04-27 11:04:20},
priority = {2},
publisher = {WHO Collaborating Centre for Drug Statistics Methodology}
}