Plotly Rstudio
Plotly Rstudio - Related Videos
07:54
Manipulation of Ploidy in Caenorhabditis elegans
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Cited by 8 •
2018
This method allows for the generation of tetraploid and triploid Caenorhabditis nematodes from any diploid strain. Polyploid strains generated by this method have been used to study chromosome interactions in meiotic prophase, and this method is useful for examining important basic questions in cell, developmental, evolutionary, and cancer biology.
07:03
Mouse Oocyte Microinjection, Maturation and Ploidy Assessment
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Cited by 75 •
2011
Oocytes are prone to aneuploidy due to errors in chromosome segregation during meiotic maturation. Aneuploid eggs can cause infertility, miscarriages or developmental disorders like Down syndrome. Here, we describe methods to introduce materials of choice into oocytes and methods to study meiotic maturation and assess ploidy.
12:32
Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis
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Cited by 20 •
2021
The present study reports a protocol for chromosome screening of human embryos that uses spent culture medium, which avoids embryo biopsy and enables chromosome ploidy identification using NGS. The present article presents the detailed procedure, including the preparation of culture medium, whole genome amplification (WGA), next-generation sequencing (NGS) library preparation, and data analysis.
08:41
Isolation of Cardiomyocytes from Fixed Hearts for Immunocytochemistry and Ploidy Analysis
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Cited by 12 •
2020
The goal of this work is to develop a method to reproducibly isolate cardiomyocytes from the adult heart and measure DNA content and nucleation.
08:44
A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice
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Cited by 1 •
2020
We present a robust, cost-effective, and flexible method for measuring changes in hepatocyte number and nuclear ploidy within fixed/cryopreserved tissue samples that does not require flow cytometry. Our approach provides a powerful sample-wide signature of liver cytology ideal for tracking the progression of liver injury and disease.
FAQs
Within the plotly R package, data and graphical specifications are translated into JavaScript visualizations. That translation provides the browser-oriented behavior behind hovering, zooming, panning, and selection, rather than treating the figure as an unchanging image. As a result, users can inspect individual observations and navigate a graphic interactively while working from R data or statistical results.
Users can approach Plotly in RStudio graphics in two ways: they can convert ggplot2 figures or construct charts with Plotly functions. Conversion supports an interactive version of an existing ggplot2-based visualization, whereas Plotly functions let users build the chart through Plotly-specific graphical specifications. This choice accommodates workflows that begin with ggplot2 and workflows that start directly from Plotly.
Interactive controls support more than visual presentation: hovering can help inspect points, while zooming and panning help examine selected portions of a display. Selection adds a way to focus on observations within the graphic. In environmental exploration, these actions can make patterns and outliers easier to recognize than in a static plot.
An RStudio workflow can begin with environmental data or statistical results. Users then work through the plotly R package, choosing either a ggplot2-based figure to convert or Plotly functions to create a chart, and inspect the resulting interactive output. The same type of output can support reports, applications, or dashboards.
Environmental researchers can apply these graphics to temperature, precipitation, pollution, biodiversity, and other measurements. Time and location provide meaningful dimensions for examining change and distribution, while interaction allows users to investigate the displayed measurements more closely. This makes the approach useful for exploratory analysis across varied environmental datasets.
Interactive outputs can support both analysis and communication. During exploration, users can use the available controls to examine patterns or outliers and move between broader and more focused views. In reporting and presentation, the graphics can be incorporated into reports, applications, and dashboards, allowing environmental results to be communicated as navigable visual displays rather than only static figures.