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What is Variation?01:14

What is Variation?

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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.
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Variation01:19

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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.
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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
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Comparing Copy Number Variations and SNPs02:26

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
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Human variation databases.

Jan Küntzer1, Daniela Eggle, Stefan Klostermann

  • 1Pharma Research and Early Development, pRED Informatics, Roche Diagnostics GmbH, Penzberg, Germany. jan.kuentzer@roche.com

Database : the Journal of Biological Databases and Curation
|July 20, 2010
PubMed
Summary
This summary is machine-generated.

Human genetic variation data is crucial for understanding diseases. This review surveys current public and commercial databases, highlighting inconsistencies in data presentation due to a lack of standardization.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Medical Science

Background:

  • Over 100,000 human genetic variations linked to diseases are documented.
  • This genetic variation data is vital for clinical medicine and scientific research.
  • Numerous locus-specific databases exist to manage this information.

Purpose of the Study:

  • To provide a comprehensive overview of human genetic variation data resources.
  • To survey both public and commercial databases available for genetic variation data.
  • To highlight the current landscape of human variation data repositories.

Main Methods:

  • Literature review of existing genetic variation databases.
  • Analysis of the scope, format, and content of various databases.
  • Comparison of data presentation standards across different resources.

Main Results:

  • A wide array of public and commercial resources for human genetic variation data are available.
  • Significant differences exist in the scope, format, and content of these databases.
  • The lack of a standardized format leads to highly variable data presentation.

Conclusions:

  • Current human genetic variation databases are diverse and lack standardization.
  • A need exists for standardized approaches to data presentation in variation databases.
  • Further development of consistent resources is essential for advancing genetic research and clinical applications.