Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data.

Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.

Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs).

Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organizational principles within nucleic acid and protein sequences, called proteomics.

Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologies to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation.

Bioinformatics tools aid in comparing, analyzing and interpreting genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogue the biological pathways and networks that are an important part of systems biology. In structural biology, it aids in the simulation and modeling of DNA,RNA, proteins as well as biomolecular interactions.

Historically, the term bioinformatics did not mean what it means today. Paulien Hogewegand Ben Hesper coined it in 1970 to refer to the study of information processes in biotic systems.This definition placed bioinformatics as a field parallel to biochemistry (the study of chemical processes in biological systems).

Applied Microbiology is a peer-reviewed Open Access Journal, encourages on-going international research and articles related to but not limited to Medical microbiology, pathogenic microbes, Pharmaceutical microbiology (antibiotics, enzymes, vitamins, vaccines) Industrial microbiology, Microbial biotechnology, Plant pathology, Veterinary, Food, Agricultural, Soil, Environmental Microbiology, etc.

It’s our privilege to recite you as a foremost strategist in the realm of research and invite to endowment your research penmanship to write (volume 7 issue 3) Short Communication or mini review on above topic to be published in our journal.

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