What are the three processes of genome evolution?
Concerted evolution of dispersed repeats is thought to involve a three-stage process (Fig. 6): a duplication event (including from whole-genome duplications), a period of homogenization that is driven by gene conversion, and a divergence (normal evolution) phase..
What is computational biology for genomics?
Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequence as well as other "post-genomic" data (i.e., experimental data obtained with technologies that require the genome sequence, such as genomic .
What is computational biology in genomics?
Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequence as well as other "post-genomic" data (i.e., experimental data obtained with technologies that require the genome sequence, such as genomic .
What is computational evolutionary biology?
Computational evolutionary biology is hugely applied in evolutionary genetics for analysis of the ancient genomes of human and other species, molecular anthropology, tracking spread of an infectious agent, genetic polymorphism detection, etc..
What is the computational approach to genomics?
Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequence as well as other "post-genomic" data (i.e., experimental data obtained with technologies that require the genome sequence, such as genomic .
What is the purpose of computational genomics?
Contributions of computational genomics research to biology
predict precise locations of all human genes using comparative genomics techniques with several mammalian and vertebrate species. predict conserved genomic regions that are related to early embryonic development..
- Computational biologists use computer tools and statistical analysis to test practical hypotheses using large-scale datasets, like genomic sequencing data.
They develop and apply analytical methods and mathematical modeling techniques to study genomic systems. - Genome evolution also involves rearrangement of existing genes.
As well as the generation of new genes by duplication followed by mutation, novel protein functions can also be produced by rearranging existing genes.
This is possible because most proteins are made up of structural domains (Section 3.3. - There are various mechanisms that have contributed to genome evolution and these include gene and genome duplications, polyploidy, mutation rates, transposable elements, pseudogenes, exon shuffling and genomic reduction and gene loss.
