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TargetMine, an Integrated Data Warehouse for Candidate Gene Prioritisation and Target Discovery
Prioritising candidate genes for further experimental characterisation is a non-trivial challenge in drug discovery and biomedical research in general. An integrated approach that combines results from multiple data types is best suited for optimal target selection. We developed TargetMine, a data w...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050930/ https://www.ncbi.nlm.nih.gov/pubmed/21408081 http://dx.doi.org/10.1371/journal.pone.0017844 |
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author | Chen, Yi-An Tripathi, Lokesh P. Mizuguchi, Kenji |
author_facet | Chen, Yi-An Tripathi, Lokesh P. Mizuguchi, Kenji |
author_sort | Chen, Yi-An |
collection | PubMed |
description | Prioritising candidate genes for further experimental characterisation is a non-trivial challenge in drug discovery and biomedical research in general. An integrated approach that combines results from multiple data types is best suited for optimal target selection. We developed TargetMine, a data warehouse for efficient target prioritisation. TargetMine utilises the InterMine framework, with new data models such as protein-DNA interactions integrated in a novel way. It enables complicated searches that are difficult to perform with existing tools and it also offers integration of custom annotations and in-house experimental data. We proposed an objective protocol for target prioritisation using TargetMine and set up a benchmarking procedure to evaluate its performance. The results show that the protocol can identify known disease-associated genes with high precision and coverage. A demonstration version of TargetMine is available at http://targetmine.nibio.go.jp/. |
format | Text |
id | pubmed-3050930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30509302011-03-15 TargetMine, an Integrated Data Warehouse for Candidate Gene Prioritisation and Target Discovery Chen, Yi-An Tripathi, Lokesh P. Mizuguchi, Kenji PLoS One Research Article Prioritising candidate genes for further experimental characterisation is a non-trivial challenge in drug discovery and biomedical research in general. An integrated approach that combines results from multiple data types is best suited for optimal target selection. We developed TargetMine, a data warehouse for efficient target prioritisation. TargetMine utilises the InterMine framework, with new data models such as protein-DNA interactions integrated in a novel way. It enables complicated searches that are difficult to perform with existing tools and it also offers integration of custom annotations and in-house experimental data. We proposed an objective protocol for target prioritisation using TargetMine and set up a benchmarking procedure to evaluate its performance. The results show that the protocol can identify known disease-associated genes with high precision and coverage. A demonstration version of TargetMine is available at http://targetmine.nibio.go.jp/. Public Library of Science 2011-03-08 /pmc/articles/PMC3050930/ /pubmed/21408081 http://dx.doi.org/10.1371/journal.pone.0017844 Text en Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Chen, Yi-An Tripathi, Lokesh P. Mizuguchi, Kenji TargetMine, an Integrated Data Warehouse for Candidate Gene Prioritisation and Target Discovery |
title | TargetMine, an Integrated Data Warehouse for Candidate Gene
Prioritisation and Target Discovery |
title_full | TargetMine, an Integrated Data Warehouse for Candidate Gene
Prioritisation and Target Discovery |
title_fullStr | TargetMine, an Integrated Data Warehouse for Candidate Gene
Prioritisation and Target Discovery |
title_full_unstemmed | TargetMine, an Integrated Data Warehouse for Candidate Gene
Prioritisation and Target Discovery |
title_short | TargetMine, an Integrated Data Warehouse for Candidate Gene
Prioritisation and Target Discovery |
title_sort | targetmine, an integrated data warehouse for candidate gene
prioritisation and target discovery |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050930/ https://www.ncbi.nlm.nih.gov/pubmed/21408081 http://dx.doi.org/10.1371/journal.pone.0017844 |
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