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In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
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While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
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    Scientific visualization is growing but depends on other sciences. This study explores visualization development through collaboration and independent tool creation, using FluoRender as a case study.

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    Area of Science:

    • Scientific visualization as an academic discipline.
    • Interdisciplinary nature of visualization development.
    • Application-driven research in scientific visualization.

    Background:

    • Visualization's academic growth is tied to its application in foundational sciences.
    • Understanding the development process is crucial for advancing visualization tools.
    • The need for effective tools in scientific research.

    Purpose of the Study:

    • To examine the visualization development process.
    • To explore collaborative development between visualization experts and domain scientists.
    • To detail the independent development of visualization tools, using FluoRender as an example.

    Main Methods:

    • Analysis of the visualization development lifecycle.
    • Case study approach focusing on FluoRender.
    • Examination of collaborative and independent development models.

    Main Results:

    • Visualization development involves both interdisciplinary collaboration and independent tool creation.
    • The FluoRender case study illustrates the practical aspects of these development processes.
    • Behind-the-scenes insights into the creation of a scientific visualization tool.

    Conclusions:

    • The development of scientific visualization is a multifaceted process.
    • Collaboration with domain scientists is key for relevant tool development.
    • Independent development by tool creators drives innovation in visualization.