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MicroRNA Regulatory Network Analysis Using miRNet 2.0

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Transcription Factor Regulatory Networks

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2594))

Abstract

MicroRNAs exert their effects in the context of gene regulatory networks. The recent development of high-throughput experimental approaches and the growing availability of gene expression data have permitted comprehensive functional studies of miRNAs. However, the data interpretation is often challenging due to the fact that miRNAs not only act cooperatively with other miRNAs but also participate in complex networks by interacting with other functional elements, including non-coding RNAs or transcription factors that often have extensive effects on cell biology. This chapter provides detailed practical procedures on how to use miRNet 2.0 (https://www.mirnet.ca) to perform miRNA regulatory network analytics to gain functional insights.

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Acknowledgments

Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant, NSERC-CREATE-MATRIX Scholarship, and Canada Research Chairs (CRC) Program.

Author information

Authors and Affiliations

  1. Department of Human Genetics, McGill University, Montreal, QC, Canada

    Le Chang & Jianguo Xia

  2. Institute of Parasitology, McGill University, Montreal, QC, Canada

    Jianguo Xia

  3. Department of Animal Science, McGill University, Montreal, QC, Canada

    Jianguo Xia

Authors
  1. Le Chang
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  2. Jianguo Xia
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Corresponding author

Correspondence to Jianguo Xia .

Editor information

Editors and Affiliations

  1. Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA

    Qi Song

  2. Cutaneous Biology Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA

    Zhipeng Tao

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© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Chang, L., Xia, J. (2023). MicroRNA Regulatory Network Analysis Using miRNet 2.0. In: Song, Q., Tao, Z. (eds) Transcription Factor Regulatory Networks. Methods in Molecular Biology, vol 2594. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2815-7_14

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  • DOI: https://doi.org/10.1007/978-1-0716-2815-7_14

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2814-0

  • Online ISBN: 978-1-0716-2815-7

  • eBook Packages: Springer Protocols

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