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An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework
Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795931/ https://www.ncbi.nlm.nih.gov/pubmed/26989145 http://dx.doi.org/10.1093/database/baw009 |
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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 | Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org |
format | Online Article Text |
id | pubmed-4795931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47959312016-03-21 An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework Chen, Yi-An Tripathi, Lokesh P. Mizuguchi, Kenji Database (Oxford) Database Update Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org Oxford University Press 2016-03-17 /pmc/articles/PMC4795931/ /pubmed/26989145 http://dx.doi.org/10.1093/database/baw009 Text en © The Author(s) 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Update Chen, Yi-An Tripathi, Lokesh P. Mizuguchi, Kenji An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework |
title | An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework |
title_full | An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework |
title_fullStr | An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework |
title_full_unstemmed | An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework |
title_short | An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework |
title_sort | integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework |
topic | Database Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795931/ https://www.ncbi.nlm.nih.gov/pubmed/26989145 http://dx.doi.org/10.1093/database/baw009 |
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