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RefEX: Reference Expression Dataset

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Practical Guide to Life Science Databases

Abstract

Reference Expression dataset (RefEx) is a web tool which allows users to search by the gene name, various types of IDs, chromosomal regions in genetic maps, gene family based on InterPro, gene expression patterns, or biological categories based on Gene Ontology. RefEx also provides information about genes with tissue-specific expression, and the relative gene expression values are shown as choropleth maps on 3D human body images from BodyParts3D. Combined with FANTOM dataset, RefEx enables users to draw insights regarding the functional interpretation of unfamiliar genes.

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Author information

Authors and Affiliations

  1. Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Mishima, Japan

    Hiromasa Ono & Hidemasa Bono

Authors
  1. Hiromasa Ono
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  2. Hidemasa Bono
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Corresponding author

Correspondence to Hidemasa Bono .

Editor information

Editors and Affiliations

  1. Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Kanagawa, Japan

    Imad Abugessaisa

  2. Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Kanagawa, Japan

    Takeya Kasukawa

Ethics declarations

This work was supported by the Integrated Database Project of the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan and the National Bioscience Database Center (NBDC) of the Japan Science and Technology Agency (JST). Computations were partially performed on the NIG supercomputer at the ROIS National Institute of Genetics.

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ono, H., Bono, H. (2021). RefEX: Reference Expression Dataset. In: Abugessaisa, I., Kasukawa, T. (eds) Practical Guide to Life Science Databases. Springer, Singapore. https://doi.org/10.1007/978-981-16-5812-9_6

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