In present scenario a lot of bioinformatics work is involved in biotechnology labs.
The question is extremely wide and is open for interpretations. I would try to keep my answer really short:
1. Bioinformatics tools can be used to trace out the evolutionary origin of any sequenced gene.
2. These tools help us to predict the functions of a newly-discovered gene, by aligning its sequence across bioinformatics database (BLAST).
3. Structure predictions are another huge advantage, offered by bioinformatics tools. These 3D structures can be used to predict possible macromolecular interactions via docking studies.
4. In summary, bioinformatics includes all the basic tools required for structure-function predictions, macromolecular interactions and develop future applications such as drug design.
You can find more details online.
Hope you got some ideas,
Best,
Sagar S
Biotechnology is an interdisciplinary science including not only biology but also subjects like mathematics, physics, chemistry, engineering and many more. It is also a conglomeration of various combined technologies applied to living cells for production of a particular product or enhancing its quality according to our preferences. Its application varies from agriculture to industry -- food, pharmaceutical, chemical, bio-products, textiles, medicine, nutrition, environmental conservation, animal sciences etc., arguably making it one of the fastest growing fields.
Biotechnology combines disciplines like genetics, molecular biology, biochemistry, embryology and cell biology, which are in turn linked to practical disciplines like chemical engineering, information technology, and robotics.
Bioinformatics is the application of information technology and computer science to the field of molecular biology. Bioinformatics is the field of science in which biology, computer science, and information technology merge to form a single discipline. The ultimate goal of the field is to enable the discovery of new biological insights as well as to create a global perspective from which unifying principles in biology can be discerned.
Today it is possible to perform (using heuristic algorithms) 80% accurate searches perhaps 90 -95% accuracy from the leading software systems. Sensitive algorithms which improve the search accuracy, such as hidden Markov models and Smith-Waterman algorithm, are also available but take more time to execute the search. Now, to handle these demanding needs, computers are being designed around the biologists.
Leading bioinformatics companies are developing software systems which permit research scientists to integrate their diverse data and tools under Common Graphical User Interfaces (GUIs). It also permits scientists to share information and provides powerful solution to archive data. The whole area of biology can immensely benefit from the bioinformatic approach. Bioinformatics tools for efficient research will have significant implications in life sciences and betterment of human lives.
Before and after any experiment, Bio-informatics tools are used now-a-days more frequently to reduce the number of trials and more importantly to quantify experimental data.
The question is extremely wide and is open for interpretations. I would try to keep my answer really short:
1. Bioinformatics tools can be used to trace out the evolutionary origin of any sequenced gene.
2. These tools help us to predict the functions of a newly-discovered gene, by aligning its sequence across bioinformatics database (BLAST).
3. Structure predictions are another huge advantage, offered by bioinformatics tools. These 3D structures can be used to predict possible macromolecular interactions via docking studies.
4. In summary, bioinformatics includes all the basic tools required for structure-function predictions, macromolecular interactions and develop future applications such as drug design.
You can find more details online.
Hope you got some ideas,
Best,
Sagar S
In silica studies will reduce wasted and redundant effort. Biotec implies a desire to create a biological technology (itrinsically we understand what biology is) - technology means creating a profitable system of production on an industrial scale (that is not well understood by most scientisits). Sagar Sridhara has summarised very well what molecular bioinformatics offers - add that to patent office database searches and we reach the same conclusions as Xarrin B and Sourav Nayak (above). Bioinformatics will help you create new biotechnologies.
I am happy to see the great responses, although, I am working in bioinformatics but could anyone correlate the correctness of bioinformatics approach with the wet lab data
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