Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

dc.contributor.authorMoseley, Robert C.
dc.contributor.authorCampione, Sophia
dc.contributor.authorCummins, Bree
dc.contributor.authorMotta, Francis
dc.contributor.authorHaase, Steven B.
dc.date.accessioned2022-10-21T20:02:14Z
dc.date.available2022-10-21T20:02:14Z
dc.date.issued2021-12
dc.description© MyJove Corporationen_US
dc.description.abstractDeveloping gene regulatory network models is a major challenge in systems biology. Several computational tools and pipelines have been developed to tackle this challenge, including the newly developed Inherent Dynamics Pipeline. The Inherent Dynamics Pipeline consists of several previously published tools that work synergistically and are connected in a linear fashion, where the output of one tool is then used as input for the following tool. As with most computational techniques, each step of the Inherent Dynamics Pipeline requires the user to make choices about parameters that don’t have a precise biological definition. These choices can substantially impact gene regulatory network models produced by the analysis. For this reason, the ability to visualize and explore the consequences of various parameter choices at each step can help increase confidence in the choices and the results.The Inherent Dynamics Visualizer is a comprehensive visualization package that streamlines the process of evaluating parameter choices through an interactive interface within a web browser. The user can separately examine the output of each step of the pipeline, make intuitive changes based on visual information, and benefit from the automatic production of necessary input files for the Inherent Dynamics Pipeline. The Inherent Dynamics Visualizer provides an unparalleled level of access to a highly intricate tool for the discovery of gene regulatory networks from time series transcriptomic data.en_US
dc.identifier.citationMoseley, R. C., Campione, S., Cummins, B., Motta, F., Haase, S. B. Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline. J. Vis. Exp. (178), e63084, doi:10.3791/63084 (2021).en_US
dc.identifier.issn1940-087X
dc.identifier.urihttp://scholarworks.montana.edu/handle/1/17307
dc.language.isoen_USen_US
dc.publisherMyJove Corporationen_US
dc.rightscc-byen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectdynamics visualizeren_US
dc.subjectevaluating and visualizing outputsen_US
dc.subjectgene regulatory networken_US
dc.subjectinference pipelineen_US
dc.titleInherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipelineen_US
dc.typeArticleen_US
mus.citation.extentfirstpage1en_US
mus.citation.extentlastpage24en_US
mus.citation.issue178en_US
mus.data.thumbpage17en_US
mus.identifier.doi10.3791/63084en_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US

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