What is bioinformatics?
Bioinformatics is a field that uses computers to store and analyze molecular biological information. Using this information in digital format, bioinformatics can solve problems of molecular biology, predict structures and even simulate macromolecules. In a more general sense, bioinformatics can be used to describe any use of computers for biology purposes, but definition specific to molecular biology is by far the most common. One of these applications is to commit an evolutionary change in the species. By examining the genome and monitoring how evolutionary biologists may actually monitor the development of how it happens.
The most famous application of bioinformatics is sequential analysis. In the sequential analysis of the DNA sequence of various organisms, they are stored in databases for easy search and comparison. The well -mentioned human genome project is an example of bioinformatics of sequential analysis. Using massive computers and various sequence collection methods was the whole human genom sequential and stored within a structured database.
DNA sequence used for bioinformatics can be collected in many ways. One method is to go through the genome and search individual sequences for recording and storage. Another method is simply to catch a huge amount of fragments and compare them all, find the whole sequences by overlapping redundant segments. The latter method, known as a shotgun, is currently the most popular due to its efforts and speed.
By comparing the well -known genome sequences with specific mutations, you can get a lot of information about undesirable mutations such as cancer. With completed mapping genome, bioinformatics has become very important in cancer research in hope for possible treatment.
Computers are also used to collect and store wider types of species. For example, The Kind 2000 project focuses on gatheringA large amount of information about any type of plants, fungi and animal on the ground. This information can then be used for a number of applications, including changes in populations and biomes monitoring.
There are many other bioinformatics applications, including predicting whole protein chains, learning how genes express in different types and create complex models of whole cells. As computational performance increases and our databases of genetic and molecular information are expanding, the bioinformatics sphere certainly grows and changes drastically, allowing us to create incredible complexity and usefulness.