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bio informatics

seminar topic on bio informatics
Bioinformatics is an interdisciplinary field that develops methods and software tools for the understanding of biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics and engineering to analyze and interpret biological data. Bioinformatics has been used for the in silico analysis of biological queries using mathematical and statistical techniques.

Bioinformatics is a general term for the body of biological studies that use computer programming as part of its methodology, as well as a reference to "pipelines" of specific analyzes that are used repeatedly, particularly in the field of genomics. Common uses of bioinformatics include identification of candidate genes and single nucleotide polymorphisms (SNPs). Often such identification is done with the aim of better understanding the genetic basis of the disease, unique adaptations, desirable properties (especially in agricultural species) or differences between populations. In a less formal way, bioinformatics also tries to understand the organizational principles within the sequences of nucleic acids and proteins, called proteomics.

Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatic techniques such as image and signal processing allow the extraction of useful results from large amounts of raw data. In the field of genetics and genomics, it helps to sequence and annotate genomes and their observed mutations. It plays a role in the extraction of texts from biological literature and the development of biological and genetic ontologies to organize and consult biological data. It also plays a role in the analysis of the expression and regulation of genes and proteins. Bioinformatics tools help in comparing genetic and genomic data and, in general, understanding the evolutionary aspects of molecular biology. At a more integrative level, it helps to analyze and catalog biological pathways and networks that are an important part of systems biology. In structural biology, it helps in the simulation and modeling of DNA, RNA, proteins, as well as bio-molecular interactions.

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