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Evolutionary Genetics and Genomics

Stanford_P1010983
(Stanford University - Jaclyn Chen)
 

- Evolutionary Genetics and Genomics

Evolution is the process by which living organisms change over time through changes in the genome. These evolutionary changes are the result of mutations that produce genomic variation. This variation gives rise to individuals with altered biological functions or physical traits. 

Evolutionary genetics and genomics involve study of the evolution of genes, gene families, genetic systems, genomes, and populations and the genetic basis of phenotypic evolution. The approaches include the use of genetic markers in natural populations, computer simulations and experiments with model organisms.

 

- Evolutionary Genomics

Evolutionary genomics is the study of how a genome's features and components change over time, both within and between species. A genome is the entirety of an organism's DNA.

Evolutionary genomics involves studying the evolution of: 

  • Genes
  • Gene families
  • Genetic systems
  • Genomes
  • Populations 
  • The genetic basis of phenotypic evolution

Evolutionary genomics uses approaches such as:

  • Genetic markers in natural populations
  • Computer simulations
  • Experiments with model organisms

 

- Evolutionary Biology Bioinformatics

Evolutionary biology bioinformatics is a field that combines evolutionary biology and bioinformatics. It's a tool for analyzing and interpreting large amounts of biological data to understand how evolution affects the development of life. 

Bioinformatics is a scientific subdiscipline that uses computer technology to collect, store, analyze, and share biological data and information. Bioinformatics tools help compare, analyze, and interpret genetic and genomic data. 

Evolutionary genomics is a broad field that studies the evolution of species' genomes. Evolutionary genomic studies can reveal which genes have been selected during domestication and the overall genomic effects of domestication.

Topics in evolutionary genomics and bioinformatics include:

  • Using genomic data to detect natural selection
  • The evolution of genome size and structure
  • Speciation
  • The evolution of sex
  • Genomic conflict

 

[More to come ...]



 

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