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Related Concept Videos

Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Variation01:19

Variation

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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
What is Variation?01:14

What is Variation?

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...

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Related Experiment Video

Updated: Jun 13, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Ensembl variation resources.

Yuan Chen1, Fiona Cunningham, Daniel Rios

  • 1European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

BMC Genomics
|May 13, 2010
PubMed
Summary
This summary is machine-generated.

Genomic variation data is crucial for understanding species evolution and individual differences. Ensembl provides integrated resources for accessing and analyzing this data, aiding genotype-phenotype research.

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • The field of genomics is rapidly expanding, generating vast amounts of genomic variation data from sequenced genomes.
  • Variation data is essential for understanding evolution, population frequencies, and genotype-phenotype correlations.
  • Accessible storage and integration of variation data with other genomic resources are critical for maximizing its utility.

Purpose of the Study:

  • To describe the Ensembl project's comprehensive and integrated variation resources for chordate genomes.
  • To detail the data sources and methods used in creating the Ensembl variation databases.
  • To explore the utility of Ensembl variation data through various query options and programmatic access.

Main Methods:

  • Ensembl aggregates variation data from multiple sources for diverse chordate genomes.
  • Databases are constructed using defined methodologies for storing and organizing variation information.
  • Querying capabilities include interactive web displays, online data mining tools, and direct programmatic access via data servers.

Main Results:

  • Ensembl offers integrated variation resources for a wide range of chordate genomes.
  • A detailed description of data sources and database creation methods is provided.
  • Ensembl facilitates data access through web interfaces, data mining tools, and programmatic connections.

Conclusions:

  • Genomic variation data is key to understanding functional and phenotypic differences.
  • Advancements in sequencing and genotyping technologies are rapidly increasing available variation data.
  • Ensembl variation resources are integrated into the Ensembl genome browser, offering comprehensive access within a widely used bioinformatics system.