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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...

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Detalles Bibliográficos
Autores principales: Chen, Yi-An, Tripathi, Lokesh P., Mizuguchi, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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
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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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