Eye Variegation Scoring

Eye variegation scoring is a quantitative method for measuring patchy differences in eye pigmentation that arise when genetic or chromatin effects produce mosaic patterns among ommatidia. By recording the number, size, or intensity of pigmented and unpigmented facets, researchers convert visible phenotypes into comparable genetic data; stochastic gene silencing, including position-effect variegation, can generate these patterns. In genetics, eye variegation scoring supports modifier screens, analysis of gene regulation, and evaluation of mutations or chromatin factors that alter silencing. It provides a rapid, noninvasive readout of genotype-to-phenotype relationships and can help connect molecular mechanisms with organism-level traits.

Eye Variegation Scoring - Related Videos

Research

JoVE Journal - Medicine

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19

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2022

The present protocol describes the cross-sectional research performed on 40 healthy subjects between the ages of 20 and 45 to assess the prevalence of dry eye syndrome (DES) during COVID-19. The OSDI survey evaluated DES, and the advanced ophthalmic systems (AOS) software was used to assess limbal redness.

Education

JoVE Core - Statistics

What is Variation?

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2023

Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean. The range, standard deviation, standard error, and variance are the different measures of variation. Range: The range is the difference between its maximum and...

New Variations for Strategy Set-shifting in the Rat

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Cited by 3 •

2017

Set-shifting, a form of behavioral flexibility, requires an attentional shift from one stimulus dimension to another. We extended an established rodent set-shifting task1 by requiring attention to different stimuli according to context. The task was combined with specific lesions to identify neuron subtypes underlying a successful shift.

Variation

0 Views •

2023

An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance. When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...

Education

JoVE Core - Statistics
Free Sample

Introduction to z Scores

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2023

A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one. z scores help...

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