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Related Concept Videos

Normal Stress01:19

Normal Stress

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Normal stress is a type of stress that occurs when forces act perpendicular, or normal, to a material's cross-sectional area. This stress often arises in structures when subjected to axial loading, which is the application of force along the axis of an object. A practical example of this can be found in bridge truss members.
When a rod is under axial loading, the internal forces and corresponding stress are normal to the plane of the section, so it is termed normal stress. It's important to...
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Normal Distribution01:11

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The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...
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Normal and Shear Force01:14

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When a beam is subjected to different loads, such as weight, pressure, or other external forces, internal forces are generated within the beam. These forces can have a significant impact on the overall stability and strength of the structure. Engineers use various methods to analyze and determine the magnitude and direction of these internal forces. One common technique used to determine internal forces in beams is the method of sections. This method involves considering an imaginary point or...
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Variation: Normal Distribution, Range, and Standard Deviation02:32

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In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
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Applications of Normal Distribution01:22

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The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
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Fixed Action Patterns01:06

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A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
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Updated: Jan 25, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
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Within-sample co-methylation patterns in normal tissues.

Lillian Sun1, Shuying Sun2

  • 11Stanford University, Stanford, CA USA.

Biodata Mining
|May 16, 2019
PubMed
Summary
This summary is machine-generated.

DNA methylation patterns show consistency within the same tissue across different samples but vary significantly across different tissues within a single sample. Most co-methylation regions are short, indicating localized methylation patterns in normal DNA.

Keywords:
Normal tissueStatistical analysisWithin-sample co-methylation

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Methylated DNA Immunoprecipitation
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Area of Science:

  • Epigenetics
  • Genomics
  • Molecular Biology

Background:

  • DNA methylation is a key epigenetic regulator of gene expression, with aberrant patterns linked to various diseases.
  • Within-sample DNA co-methylation, the similarity of methylation in nearby cytosine sites, is crucial but understudied in normal tissues.
  • Understanding normal co-methylation patterns is essential for disease association studies.

Purpose of the Study:

  • To investigate within-sample DNA co-methylation patterns in normal tissues.
  • To determine if co-methylation patterns differ across multiple samples of the same tissue.
  • To assess variations in co-methylation patterns across different tissues from a single sample.

Main Methods:

  • Analysis of two distinct datasets: 3-sample-1-tissue (3S1T) and 1-sample-8-tissue (1S8T).
  • Statistical investigation of methylation state transitions and their association with chromosomal distance.
  • Characterization of co-methylation region lengths.

Main Results:

  • No significant co-methylation differences were observed among multiple samples of the same tissue (spleen).
  • Significant differences in co-methylation patterns were found across different tissues within a single sample.
  • Methylation states A (no/low) and D (high/full) tend to be stable along chromosomal regions.
  • States B (low/partial) and C (partial/high) show a tendency to transition towards higher methylation.
  • Most co-methylation regions are short (hundreds of base pairs), with few exceeding 1000 base pairs.

Conclusions:

  • Established baseline understanding of within-sample co-methylation patterns in normal tissues.
  • Findings highlight tissue-specific variations in DNA methylation patterns.
  • Results provide a foundation for developing advanced methylation analysis methods and understanding disease mechanisms.