Literature DB >> 31115884

Data Warehousing with TargetMine for Omics Data Analysis.

Yi-An Chen1, Lokesh P Tripathi2, Kenji Mizuguchi3.   

Abstract

Most biological processes including diseases are multifactorial and determined by a complex interplay of various genetic and environmental factors. This chapter aims to provide a user guide to data querying, analysis, and visualization with TargetMine and the associated auxiliary toolkit. We have also discussed some of the commonly used data queries for the researchers who are interested in gene set analysis within a data warehouse framework. Overall, TargetMine provides a convenient web browser-based interface that enables the discovery of new hypotheses interactively, by performing analysis of omics data using complicated searches without any scripting and programming efforts on the part of the user and also by providing the results in an easy-to-comprehend output format.

Keywords:  Data integration; Data mining; Data warehouse; Drug discovery; Gene prioritization; Knowledge discovery; Multi-omics data analysis

Year:  2019        PMID: 31115884     DOI: 10.1007/978-1-4939-9442-7_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  The TargetMine Data Warehouse: Enhancement and Updates.

Authors:  Yi-An Chen; Lokesh P Tripathi; Takeshi Fujiwara; Tatsuya Kameyama; Mari N Itoh; Kenji Mizuguchi
Journal:  Front Genet       Date:  2019-10-09       Impact factor: 4.599

  1 in total

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