Bioinformatics to Interpret Evolutionary Processes

Evolutionary biology is a subspecialty of the biological sciences involved in the study of origin and diversity of life and transformation of life forms over time. Evolution is not just about fossils or any age old matter. In evolution, it is learning facts about molecules, genes, mutations, populations, and sex in living organisms.

Scientists and evolutionary biologists are conducting analyses using most advanced techniques, and fastest computers information technology. Evolution is a primary and is considered one of the cornerstones of biology.

Evolution is important to biology and medicine. There are a host of other applications of evolution in agriculture, biology, forensics, bioengineering, genetic engineering, molecular biology, medicine and computer science, environmental science, conservation biology, etc. But the importance of evolution extends beyond its practical side and defines the diversity of life on this planet, demonstrates our association with other living things, and uncovers significant insights into the processes of nature. Understanding evolution helps us solve many biological problems that impact our lives and also improve quality of life. To stay one step ahead of pathogenic diseases, researchers must understand the evolutionary patterns of disease-causing pathogens. To control hereditary diseases in people, researchers study the evolutionary histories of the causative genes.

This blog compiles information about the use of bioinformatics to decipher evolutionary biology. Bioinformatics tools show a path to the study of evolution with the comparison of compare genome data using bioinformatics tools. Scientists using these approaches may compare specific proteins. So far, the bioinformatics tools used to study the evolution of single proteins have assumed that the speed at which different regions of proteins evolve can be modelled with a statistical distribution whose shape is determined by a single variable.

A new algorithm allows insights into protein evolution, where “ModelFinder” will allow more accurate scientific estimates of evolutionary processes. This enhanced understanding of evolution can facilitate to untangle the mysteries that are accountable for the great diversity on our planet.

Evolutionary Bioinformatics is an open access scientific journal which distributes literature on computational biology in the study of evolutionary aspects.

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