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      Using Multi-Omic Data to Model Gene Regulatory Networks

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      ScienceOpen
      Genetoberfest 2023
      16-18 October 2023
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            Abstract

            Understanding the complex structure of gene regulation, gene regulatory networks, and how those networks are altered in specific biological contexts, are all critical for developing effective, precision-medicine based therapeutic strategies. Integrating multi-omics data to model gene regulatory networks can provide unprecedented insights into the mechanisms underlying biological systems. Along these lines, our group has developed a suite of computational approaches that support: (1) effectively integrating multi-Omic data to model gene regulation; (2) performing network analysis to identify regulatory mechanisms mediating changes in biological state; and (3) linking regulatory alterations with patient phenotypes to support precision medicine. In this talk, I will review several specific applications in which we have used these methods to model complex regulatory processes and to gain specific insights into disease.

            Author and article information

            Conference
            ScienceOpen
            9 October 2023
            Affiliations
            [1 ] Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.;
            Author information
            https://orcid.org/0000-0003-4394-5779
            Article
            10.14293/GOF.23.03
            21977f0b-eec1-48d7-a7f0-aa86ea8f95f1

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            Genetoberfest 2023
            16-18 October 2023
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            ScienceOpen


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