• Bioinformatics is concerned with the creation and development of advanced information and computational technologies to solve problems in biology. • Bioinformatics uses techniques from informatics, statistics, molecular biology and high-performance computing to obtain information about genomic or protein sequence data.
Bioinformatics is a branch of science that integrates computer science, mathematics and statistics, chemistry and engineering for analysis, exploration, integration and exploitation of biological sciences data, in Research and Development.
“Bioinformatics” • general definition: computational techniques for solving biological problems – data problems: representation (graphics), storage and retrieval (databases), analysis (statistics, artificial intelligence, optimization, etc.) – biology problems: sequence analysis, structure or function prediction, data mining, etc.
Bioinformatics is the quantitative analysis of sequences and structures of biological macromolecules (DNA, RNA, proteins). This type of analysis makes good use of computers and internet. Genomics is the study of an organism's entire genome.
Today, bioinformatics has become a recognized discipline on its own, born out of the necessity to bring together the information sciences and the biological sciences in understanding the wealth of data that has been created through various projects around the world. 2.0 Objectives (i) To give bioinformatics a standard definition
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simple — bioinformatics is conceived toward realizing a definite set of efforts in biotechnological informatics, where the art of computer science is co-mingled with the subject of biological processing.
• We seek to understand biological principles on a genome-wide scale using the tools of bioinformatics. ... What is Bioinformatics?... is a discipline that does not need a computer! – An ink pen and a supply of traditional laboratory notebooks could be used to …
Bioinformatics is an important tool for a more complete Biosemiotics. A code mediates between rate-independent and rate-dependent domains. The components of the first are effectively inert and used as memory stores (structural information, descriptions, etc.)
Bioinformatics endeavors to achieve modeling of complex biological pro- cesses at the cellular level and gain insights into the disease mechanisms from the analysis of large volumes of data that is generated.
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