   
Bioinformatics which is the combination of Biological science and Information technology application provides extensive support in services like developing molecular database which consist of both biochemical and molecular level information, Molecular centric drug database for clinical studies, Homology modeling, protein pattern prediction, Molecular modeling studies, micro array data analysis, Protein sequence analysis.
The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper in 1978 for the study of informatics processes in biotic systems. Its primary use since at least the late 1980s has been in genomics and genetics, particularly in those areas of genomics involving large-scale DNA sequencing.
Bioinformatics now entails the creation and advancement of databases, algorithms, computational and statistical techniques and theory to solve formal and practical problems arising from the management and analysis of biological data.
Over the past few decades rapid developments in genomic and other molecular research technologies and developments in information technologies have combined to produce a tremendous amount of information related to molecular biology. It is the name given to these mathematical and computing approaches used to glean understanding of biological processes.
Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning different DNA and protein sequences to compare them and creating and viewing 3-D models of protein structures.
The primary goal of bioinformatics is to increase the understanding of biological processes. What sets it apart from other approaches, however, is its focus on developing and applying computationally intensive techniques (e.g., pattern recognition, data mining, machine learning algorithms, and visualization) to achieve this goal. Major research efforts in the field include sequence alignment, gene finding, genome assembly, drug design, drug discovery, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, genome-wide association studies and the modeling of evolution.
Bioinformatics was applied in the creation and maintenance of a database to store biological information at the beginning of the "genomic revolution", such as nucleotide and amino acid sequences. Development of this type of database involved not only design issues but the development of complex interfaces whereby researchers could both access existing data as well as submit new or revised data.
In order to study how normal cellular activities are altered in different disease states, the biological data must be combined to form a comprehensive picture of these activities. Therefore, the field of bioinformatics has evolved such that the most pressing task now involves the analysis and interpretation of various types of data, including nucleotide and amino acid sequences, protein domains, and protein structures. The actual process of analyzing and interpreting data is referred to as computational biology. Important sub-disciplines within bioinformatics and computational biology include :
The development and implementation of tools that enable efficient access to, and use and management of, various types of information.
The development of new algorithms (mathematical formulas) and statistics with which to assess relationships among members of large data sets, such as methods to locate a gene within a sequence, predict protein structure and/or function, and cluster protein sequences into families of related sequences.
There are two fundamental ways of modeling a Biological system (e.g. living cell) both coming under Bioinformatics approaches.
Static
Sequences - Proteins, Nucleic acids and Peptides.
Structures - Proteins, Nucleic acids, Ligands (including metabolites and drugs) and Peptides.
Interaction data among the above entities including microarray data and Networks of proteins, metabolites.
Dynamic
Systems Biology comes under this category including reaction fluxes and variable concentrations of metabolites.
Multi-Agent Based modeling approaches capturing cellular events such as signaling, transcription and reaction dynamics.
   
Study the structure and function of gene at molecular level, Identify and understand the phylogenetic variation on the plants and animal species, molecular taxonomy with the phenotypic and genotypic studies.
Molecular genetics is the field of biology and genetics that studies the structure and function of genes at a molecular level. The field studies how the genes are transferred from generation to generation. Molecular genetics employs the methods of genetics and molecular biology. It is so-called to differentiate it from other sub fields of genetics such as ecological genetics and population genetics. An important area within molecular genetics is the use of molecular information to determine the patterns of descent, and therefore the correct scientific classification of organisms: this is called molecular systematic.
Along with determining the pattern of descendants, molecular genetics helps in understanding genetic mutations that can cause certain types of diseases. Through utilizing the methods of genetics and molecular biology, molecular genetics discovers the reasons why traits are carried on and how and why some may mutate.
Provides support on Computational Drug discovery, Design syntheses and reaction network.
Pharmacoinformatics is one of the latest terms added to the specialized informatics sciences which more or less flourished with the IT revolution in the 90’s. When IT had been penetrating all fields of life in society in a colossal trend, many of the industrialist and research scientist along with the pioneer academicians seriously thought about the need and application of information technology in pharmaceutical science.
Pharmacoinformatics may be identified as an applied discipline dealing with application of IT and computer science in the field of drug discovery as well as patient care with special emphasis on various aspects regarding drugs. There is no clear cut boundaries defined for Pharmacoinformatics. It integrates diverse disciplines like bioinformatics, chemo informatics along with other well developed pharmaceutical disciplines like pharmacology, medicinal chemistry, pharmacy practice and still other different disciplines like theoretical chemistry. |
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MicroBiology & Molecular Biology
On Microbiology domain the support extended for various services like Bioburden Analysis service, Bacterial endotoxin testing service, Microbial species Identification service. Read More |
BioInformatics, Molecular Genetics & PharmacoInformatics
Bioinformatics which is the combination of Biological science and Information technology application provides extensive support in service Read More |
Immunology &
Industrial Biotechnology
Bioinformatics which is the combination of Biological science and Information technology application provides extensive support in services Read More |
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