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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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MicroRNAs01:22

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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mirMachine: A One-Stop Shop for Plant miRNA Annotation
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miRTarVis+: Web-based interactive visual analytics tool for microRNA target predictions.

Sehi L'Yi1, Daekyoung Jung1, Minsik Oh1

  • 1Department of Computer Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Republic of Korea.

Methods (San Diego, Calif.)
|June 11, 2017
PubMed
Summary
This summary is machine-generated.

miRTarVis+ is a new web tool for analyzing microRNA (miRNA) targets. It integrates multiple prediction results, offering interactive visualizations for comprehensive data analysis in research.

Keywords:
Expression profileIntegrative analysisTarget predictionVisualizationmRNAmicroRNA

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • MicroRNA (miRNA) target prediction is crucial for understanding gene regulation.
  • Existing prediction algorithms and tools require enhancement for integrative analysis and visualization.

Purpose of the Study:

  • To introduce miRTarVis+, a web-based visual analytics tool for miRNA target prediction and integrative analysis.
  • To provide an intuitive platform for loading, filtering, predicting, and visualizing miRNA-mRNA interactions.

Main Methods:

  • miRTarVis+ employs Bayesian inference, MINE, correlation, and mutual information analyses for target prediction.
  • It integrates multiple prediction results through interactive treemaps and node-link diagrams.
  • The tool supports a comprehensive analysis pipeline: load, filter, predict, and visualize.

Main Results:

  • miRTarVis+ facilitates the integrative analysis of multiple miRNA target prediction results.
  • Interactive visualizations (treemap, node-link diagram) enable detailed examination of miRNA-mRNA networks.
  • Case studies on asthma and breast cancer data demonstrate its effectiveness in comprehensive analysis.

Conclusions:

  • miRTarVis+ enhances the analysis of miRNA targets from miRNA-mRNA expression data.
  • The tool provides a valuable resource for researchers needing to integrate and visualize complex miRNA prediction data.
  • miRTarVis+ is accessible online for broader research application.