Bioinformatics Analysis PDF
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This document provides an overview of bioinformatics, touching on its history, components, and applications. It explains the combination of biology and information technology involved. It explores topics like database creation, algorithmic development, and data interpretation techniques within bioinformatics. The potential applications of bioinformatics, like understanding evolutionary trends and predicting protein structures, are highlighted.
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# Bioinformatics Analysis ## Bioinformatics - The combination (or marriage) of biology and information technology. - It is a recently developed science using information to understand biological phenomenon. - It involves the computational tools and methods used to manage, analyse and manipulate vo...
# Bioinformatics Analysis ## Bioinformatics - The combination (or marriage) of biology and information technology. - It is a recently developed science using information to understand biological phenomenon. - It involves the computational tools and methods used to manage, analyse and manipulate volumes of biological data. - It may also be regarded as a part of computational biology - Letter is concerned with the application of quantitative analytical techniques in modeling and solving problems in the biological systems. - It is an interdisciplinary approach requiring advanced knowledge of computer mathematics and statistical methods for understanding biological phenomena at the molecular level. ## History of Bioinformatics - It was first introduced in 1990s - It dealt with the management and analysis of the data pertaining to DNA, RNA and protein sequences. - It includes many other types of biological data. Most important ones are listed below - Gene expression profiles - Protein structure - Protein interaction - Microarrays (DNA chips) - Functional analysis of biomolecules - Drug designing ## Broad Coverage of Bioinformatics - **Functional genomics:** identification of genes and their respective functions - **Structural genomics:** predictions related to functions of protein - **Comparative genomics:** understanding the genomes of different species of organisms - **DNA microarrays:** designed to measure the levels of gene expression in different tissues, various stages of development and in different diseases - **Medical informatics:** involves the management of biomedical data with special references to biomolecules, in vitro assays and clinical trials ## Components of Bioinformatics 1. **Creation of databases:** - Involves the organizing, storage and management of the biological data sets - Databases are accessible and submit new entries. Protein sequences data bank for molecular structures 2. **Development of algorithms and statistics:** - Involves the development of tools and resources to determine the relationship among the members of large data sets. - Comparisons of protein sequence data with the already existing protein sequences 3. **Analysis of data interpretation:** - Includes DNA, RNA and protein sequences, protein structure, gene expression profiles, and biochemical pathways ## Bioinformatics and the Internet - It is an international computer network. - It involves a group of computers that can communicate (usually over telephone system) and exchange data between users. - Internet protocol (Ip) determines how the packets of information are addressed and routed over the network. - To access the internet, computer must have the correct hardware, appropriate software and permission for access to network. ## Applications of Bioinformatics - Sequence mapping of biomecules (DNA, RNA and proteins) - Identification of nucleotide sequences of functional gene - Finding of sites that can be cut by restriction enzymes - Prediction of functional gene products - To trace the evolutionary trees of genes - For the prediction of 3-dimensional structure of proteins - Molecular modelling of biomolecules - Designing of drugs for medical treatment - Handling of vast biological data which otherwise is not possible - Development of models for the functioning various cells, tissue and organs. |**Applications** | **Description**| |---|---| | Sequence mapping of biomecules (DNA, RNA and proteins) | | | Identification of nucleotide sequences of functional gene | | | Finding of sites that can be cut by restriction enzymes| | | Prediction of functional gene products| | | To trace the evolutionary trees of genes | | | For the prediction of 3-dimensional structure of proteins | | | Molecular modelling of biomolecules | | | Designing of drugs for medical treatment | | | Handling of vast biological data which otherwise is not possible | | | Development of models for the functioning various cells, tissue and organs. | |