Friday, 18 February 2011

Bio Informatics Biotechnology

Bioinformatics and computational biology involve the use of techniques and methods, including applied mathematics, computer science, statistics, computer science, artificial intelligence, chemistry and biochemistry to solve biological problems. Considerable research efforts in the field include sequence alignment, gene discovery, genetic engineering, DNA fingerprinting, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and modeling of evolution. E 'dawn and industry billions of dollars and millions of hours of research are spent in developed countries to explore better and more efficient on the database.

Bioinformatics and computational biology terms are often used interchangeably. However bioinformatics more properly refers to the creation and promotion of algorithms, computational techniques and statistics, and theory to solve formal and practical problems posed by or inspired from the management and analysis of biological data. computational biology, on the other hand, refers to a survey based on an assumption of a specific biological problem using computers, carried out with experimental data and simulated, with the main objective of discovering and promoting biological knowledge.

In recent decades, advances in molecular biology and the equipment available for research in this field has allowed the sequencing of more and faster than a large number of genes. This deluge of information has required the careful storage, organization and indexing of sequence information. Information science has been applied to biology to produce the field called bioinformatics.

The simplest tasks used in bioinformatics concern the creation and maintenance of databases of biological information. nucleic acid sequences (and sequences of protein) make up the majority of these databases. Although millions of storage and / or organization of nucleotides is far from trivial, designing a database and developing an interface whereby researchers can both access existing information and submit new entries is only the beginning. These are some concepts related to the field of bioinformatics:

• Finding genes in DNA sequences from different organisms.
• Development of methods to predict the structure and / or function of newly discovered proteins and structural RNA sequences.
• Clustering protein sequences into families of related sequences and the development of models of proteins.
• Alignment of similar proteins and generating phylogenetic trees to examine evolutionary relationships.