Three main aspects of Bioinformatics

There are three main aspects need to be addressed in the above definition.
1) The first is that it is a very systematic way of dealing with biological data. Therefore, constructing an infrastructure such as large scale database and server systems for genomes and proteomes is an important part of it.

2) The second is that it views the processes and mechanisms of life as information processing. For example, it puts a weight on how the regulation can be modelled and generalized as well as how a specific four gene transcription systems works in a bacterium.

3) The third aspect is that it is multi-disciplinary employing experimental biology, theoretical science and computers. Every science field uses experiments, theories and computers. Bioinformatics is multidisciplinary: However, bioinformatics requires a very tight integration of these as a one single subject. In other words, an ideal bioinformatist should be able to understand what the Hidden Markov Model, Monte Carlo method, relational database system, object oriented programming language and a cluster of Linux operating systems as well as TCA cycle, PCR (polymerase chain reaction) and transcription elongation factors. Obviously no one can master all the interdisciplinary skills but the bioinformatics field as a whole can encompass them. Six fields of Bioinformatics: Perhaps the best way of feeling bioinformatics as an integrated discipline is to look at all the major parts of it.
There are different schemes to divide bioinformatics.
One way is using the information flow in cells. In this scheme, you can divide them into:
1) Genomics (DNA oriented)
2) Transriptomics (RNA oriented)
3) Proteomics (Protein oriented)
4) Metabolomics (biological pathways oriented)
5) Physiomics (disease and physiological level of study)
6) Medical informatics.