IntroductionBioinformatics refers to the creation and advancement of algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the management and analysis of biological data. It is the application of computer technology to the management of biological information. This program use the computers to store, search and characterize the genetic code of genes, the proteins linked to each gene and their associated functions.
The terms bioinformatics and computational biology are closely related to each other where the former is concerned with the information while computational biology is concerned with the hypotheses. However Computational biology is the hypothesis-driven investigation of a specific biological problem using computers, carried out with experimental or simulated data, with the primary goal of discovery and the advancement of biological knowledge. A representative problem in bioinformatics is the assembly of high-quality genome sequences from fragmentary "shotgun" DNA sequencing. They also study gene regulation to perform expression profiling using data from micro arrays or mass spectrometry.
Thus the science behind Bioinformatics is the melding of molecular biology with computer science, in understanding human diseases and in the identification of new molecular targets for drug discovery with the use of genomic information. In recognition of this, many universities, government institutions and pharmaceutical firms have formed bioinformatics groups, consisting of computational biologists and bioinformatics computer scientists.
The career prospects in Bioinformatics have been steadily increasing with more and more use of information technology in the field of molecular biology. Job prospects are in all sectors of biotechnology, pharmaceutical and biomedical sciences, in research institutions, hospital and industry. Some of the specific career areas that fall within the scope of bioinformatics include Sequence assembly, Database design and maintenance, Sequence analysis, Proteomics, Pharmacogenomics, Pharma-cology,Clinical pharmacologist, Informatics developer; Computational chemist, Bio-analytics and Analytics etc. One can find work in Pharmaceutical and Biotech Companies where bioinformatics technologies are applied throughout the drug discovery process. One can also take up teaching jobs in public institutions if you have a skill in teaching.
PIONEER IN THE FIELD OF BIOINFORMATICS
RICHARD A. LERNER
With Richard Eck, she published the first reconstruction of a phylogeny by computers from molecular sequences, using a maximum parsimony method. She also formulated the first probability model of protein evolution, the PAM model, in 1966. She initiated the collection of protein sequences in the Atlas of Protein Sequence and Structure, a book collecting all known protein sequences that she published in 1965. It was subsequently republished in several editions. This led to the Protein Information Resource database of protein sequences, which was developed by her group. It and the parallel effort by Walter Goad which led to the GenBank database of nucleic acid sequences are the twin origins of the modern databases of molecular sequences. The Atlas was organized by gene families, and she is regarded as a pioneer in their recognition. Her approach to proteins was always determinedly evolutionary.
GENOME OF SIMPLEST ANIMAL REVEALS SNCIENT LINEAGE CONFOUNDING ARRAY OF COMPLEX CAPABILITIES
Horoscope - Career for Zodiac Signs
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