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Bioinformatics
is a culmination of the disciplines of computer science, biological
sciences and chemical science. The result is an opening up
of a new window of opportunity for science students.
The dawn of the 21st century has heralded the arrival
of a new career known as bioinformatics. This field comprises
of a marriage and synthesis of the disciplines of computer
science, biological sciences and chemical science. The result
is an opening up of a new window of opportunity for science
students interested in taking the plunge into this new, exciting
and uncharted waters.
An interview with Dr Sowdhamini, Research scientist at the
National Center for biological sciences revealed the following
information in the field of bioinformatics and pursuing a
career in it.
The History
The computational modelling of Biomolecules has a very old
history, around the time when chemical bonds were proposed
by Linus Pauling, and the discovery of the structure of DNA
and Collagen. However Bioinformatics has a more recent past.
This area emerged in response to the need to organize vast
amount of information, for example protein sequences emerging
from high-throughput genome sequencing projects.
What is it?
Bioinformatics is the science of organization and management
of biological data. There is much more to it than creation
of biological databases. It is known for its predictive power
where in patterns can be recognised and hypotheses and relationships
proposed using computer algorithms.
Bioinformatics finds its applications in the rational design
of high-throughput experiments, mass function prediction of
genes, probing undiscovered biological pathways, drug discovery.
Bioinformatics is a heterogenous field with people from computer
science, management and biology working together. The field
involves learning from available information and derivation
of patterns and rules from knowledge based methods. There
is challenging work involved in fitting models to Biological
data and deriving rules and patterns as most biological data
are fuzzy, complex and seldom behave ideally. Computer scientists
include machine learning techniques, genetic algorithms and
techniques like Hidden Markov models to train programmes to
recognize correct connections from wrong connections, before
applying the methods on new biological problems.
Some computer algorithms address biological problems from
first principles.However this route is computationally intensive
owing to a huge size of biomolecules or include heuristic
methods with a number of approximations.
A career in bioinformatics offers splendid prospects and the
opportunity to address health issues like genetic disorders,
epidemics and life threatening diseases. It offers a chance
to understand the biological process of a metabolic cell and
complex networks between biomolecules. The field has tremendous
scope in participating in drug discovery to combat or prevent
diseases and involves novel methods such as gene therapy to
address disorders. Such applications have a direct impact
on bettering the lifestyle of mankind and therefore appeals
to society.
In order to qualify as a Bioinformatician a person has to
learn the basics of biology, biochemistry and biophysics.
A masters degree in Biology, Physics, Chemistry, or Computer
science lays the foundation for a bioinformatician.
Whichever stream a candidate comes from it is compulsory to
learn biology.There are institutes now which offer bioinformatics
degree at the masters level.
Having acquired the relevant qualification a bioinformatician
works in the life sciences sphere in industries such as drug
and pharma companies, genome research companies and high throughput
industries in roles such as computational biologist, gene
analyst, protein analyst, structural analyst etc.
He/she commences their career with a salary of Rs 15,000 a
month which after 3-4 years of experience can go upwards of
Rs 50,000 a month.
Progress in a career in bioinformatics is possible by ambitious
and clever design of problems, ability to participate in research
consortia and by providing solutions to underlying biological
problems.
Thus the future for bioinformatics looks bright and promising.
Bioinformatics can be the future of several areas of biology
- especially in high throughput experiments and is finding
its place in academic and corporate consortia. Therefore the
going looks good and a person pursuing a career in bioinformatics
is set to fly high in this the new millennium.
By Preetam Pereira
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