Comparative Genome Analysis
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Comparative genomics is a discipline of biology that compares the genomes of different organisms, genome sequences of different species, including humans, mice, and many other animals, from bacteria to chimpanzees. Researchers can learn what characterizes various life forms at the molecular level by comparing the sequences of genomes from different organisms. Comparative genomics is also a valuable technique for researching evolutionary changes in organisms. It aids in discovering genes that are conserved or shared across species and genes that give each organism its distinct characteristics.
A simple comparison of genome characteristics such as genome size, number of genes, and the chromosomal number is being used as a starting point for comparative genomic analysis—several fully sequenced model organisms data. Aligning homologous DNA from various species allows for the comparison of discrete portions of genomes. On an evolutionary scale, phylogenetic distance measures the degree of separation between two species or their genomes, commonly expressed as the number of accumulated sequence changes, years, or generations. On an evolutionary scale, phylogenetic distance measures the degree of separation between two species or their genomes, commonly expressed as the number of accumulated sequence changes, years, or generations.
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Types of Bioinformatics: We undertake different types of Comparative Genome Analysis that compares the genomes of different organisms, genome sequences of different species, including humans, mice, and many other animals, from bacteria to chimpanzees.
Wide range of Sources: NCBI, BLAST, Pubmed, Pubmed Nucleotide, Pubmed Protein, Pubmed Gene, Pubmed Sequence.
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Bioinformatics tools extract useful information from many molecular biology and biological databases and perform sequence and structural analysis. Bioinformatics tools aid in the comparison, research, and interpretation of genetic and genomic data.
To predict the 2D structure of a protein molecule, a variety of tools are available. E.g. ExPASy (the Expert Protein Analysis System), developed by the Swiss Institute of Bioinformatics, is one of the essential tools (SIB).
Pubrica will provide a particular time; it depends upon your research work. We're here to help you understand the work you've done and respond to any questions you could have. You can contact us at any time, even after your service has ended.
Homology-based approaches predict a gene by aligning a protein (or RNA sequence in the form of full-length mRNA, cDNA, or EST) with the genome sequence to be annotated. The prediction is influenced by the known sequence (also known as evidence).
Proteomics data analysis, Comparative genomics, Functional genomics, Phylogeny in the protein evolutionary process, and Protein modeling are all examples of bioinformatics being used to predict the function of actual gene products.
