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Bioinformatics
is a new scientific discipline that merges
biotechnology and computer science into a
broad-based field that is important to all of the
biological sciences. It involves research and
development of computational tools and approaches
for expanding the use of biological, medical,
behavioral or health data. Bioinformatics couples
with the fundamental biochemistry of organisms with
computational analysis, thus providing a vast new
insight into biological processes and organisms. |
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Bioinformatics function
Recent advances in
the experimental techniques of molecular biology have
resulted in an explosive growth in the availability of
molecular data. A bioinformatics not only deals with
the representation, analysis, annotation and mining of
large databases of protein and genome sequence
information but also focuses on the functional analysis
of the proteins produced by these genes.
Skills and knowledge
The amount of
molecular information that is now being generated is
truly "astronomical" and it requires an individual
trained in bioinformatics to organize, analyze and
understand that information. Scientists in the 21st
century will need to learn how to use and develop
bioinformatics tools to manipulate molecular and
organism data for answering questions of biological
relevance.
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A
bioinformatics must possess not only a strong grasp of
computer
science fundamentals,
but must also be equally versed with biology and
biochemistry.
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Bioinformatics
professional should have knowledge of introductory
programming, data structures, AI algorithms,
databases, formal and comparative languages, modeling,
simulation, probability and statistics, the WWW,
visualization, and human-computer interaction (HCI)
issues.
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From the discipline of
biology, a bioinformatics professional should have
working knowledge of at least one of several life
sciences fields, including genetics and environmental
biology.
Who studies Bioinformatics?
Students who have a
keen interest in using computer technology to study
problems in biological systems are the primary student
for the Bioinformatics program. A Bioinformatics student
wants to understand
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How life works from the
molecular level to the whole organism level.
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They want to be able to
manipulate the protein and DNA information using the
latest bioinformatics software and advanced computer
hardware platforms.
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These students want to be
on the cutting edge of science and graduate with "the
science degree of the 21st century"!
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Applications
Bioinformatics techniques
provide information that brings enormous power in areas
ranging from disease diagnosis and treatment to
evolution, agriculture, and environmental science.
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Some of the
application areas where Bioinformatics plays key role
are
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Identification of
genes responsible for various pathological conditions
and genetic disorders.
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Agriculturally
and nutritionally important genes.
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Genes with
applications in pharmaceutical industry
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The study of
structural and functional relationships
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The
identification of targets for drug discovery
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Work on molecular
evolution and genetic relationships.
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Career
Prospects
Bioinformatics may
well be the single fastest-growing specialty in the life
sciences. Opportunities for scientists with the right
mix of skills in biology, biochemistry and computer
science are continuing to grow, with no limit in sight.

Bioinformatics
specialists are involved in all aspects of collecting,
assembling and analyzing the staggering quantities of
information that are being generated by the human genome
projects, as well as genome projects for other animals,
plants and disease-causing microorganisms.
A BS degree in
Bioinformatics provides a student with a foundation for
productive work in the biotechnology industry, computer
science industry or for further advanced academic study.
Some of the key
placements for a Bioinformatics Professionals can be in.
Research Institutes
Universities
Software houses
Pharmaceutical Companies
Hospitals
BS-BI (Bachelor of Science in Bioinformatics)
Eligibility
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Eligibility |
H.S.C. (Pre-Engineering /
Pre-Medical) or Equivalent |
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Duration |
4 Years |
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Semesters |
8 |
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Credit Hours |
139 |
Recommended Study Plan for
BS
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(Bioinformatics)
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Semester 1
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Semester 2
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Subject
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Cr. Hrs.
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Subject
|
Cr. Hrs.
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BI-301 / BI-313 |
Basic Mathematics /
Basic Biology |
3 |
BI-302 |
Discrete Structures |
3 |
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BI-303 |
English Comprehension &
Composition |
3 |
BI-304 |
Pakistan & Islamic
Studies |
4 |
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BI-305 |
Chemistry-I |
3
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BI-306 |
Biostatistics I |
3 |
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BI-307 |
Introduction to
Computing |
4(3+1) |
BI-308 |
Data Structures &
Algorithms |
4(3+1) |
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BI-309 |
Computer Programming |
4(3+1) |
BI-310 |
Biochemistry-II |
3(2+1) |
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BI-311 |
Biochemistry-I |
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BI-312 |
Chemistry-II |
3 |
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Semester Credits |
20 |
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Semester Credits |
20 |
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Semester 3
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Semester 4
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Subject
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Cr. Hrs.
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Subject
|
Cr. Hrs.
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BI-401 |
Physics |
3 |
BI-402 |
Operating Systems |
3(2+1) |
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BI-403 |
Bioinformatics-I |
4(3+1) |
BI-404 |
Object Oriented Paradigm |
4(3+1) |
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BI-405 |
Technical Report Writing |
3 |
BI-406 |
Bioinformatics-II |
3(2+1) |
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BI-407 |
Introduction to Software
Development |
3 |
BI-408 |
Molecular Biology-II |
3(2+1) |
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BI-409 |
Molecular Biology-I |
3(2+1) |
BI-410 |
Digital Logic & Design |
4(3+1) |
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BI-411 |
Differential Equations |
3 |
BI-412 |
Multivariable Calculus |
3 |
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Semester Credits
|
19
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Semester Credits
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20
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Semester 5
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Semester 6
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Subject
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Cr. Hrs.
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Subject
|
Cr. Hrs.
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BI-501 |
Database Systems |
3 |
BI-502 |
Visual Programming |
3(2+1) |
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BI-503 |
Networking Fundamentals |
3 |
BI-504 |
Advance Database Systems |
3 |
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BI-505 |
Biostatistics II |
3 |
BI-506
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Internet Programming |
3(2+1) |
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BI-507 |
Software Engineering |
3(2+1) |
BI-508 |
Computer Graphics |
3 |
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BI-509 |
Microbiology |
3 |
BI-510 |
Genomics |
3(2+1) |
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Semester Credits
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15
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Semester Credits
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15
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Semester 7
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Semester 8
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Subject
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Cr. Hrs.
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Subject
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Cr. Hrs.
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BI-601 |
Artificial Intelligence |
3 |
BI-602 |
Project |
3 |
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BI-603 |
Advance Web Engineering |
3(2+1) |
BI-604 |
Advance Algorithms for
Bioinformatics |
33 |
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BI-605 |
Proteomics |
3(2+1) |
BI-606 |
Special topics in
Bioinformatics |
3 |
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BI-607 |
Medical Informatics |
3 |
BI-608 |
Advance Techniques in
Biotechnology |
3 |
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BI-609
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Data Warehousing & Data
Mining
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3 |
BI-610 |
Neural Networks |
3 |
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Semester Credits
|
15
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Semester Credits
|
15
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BIIT
reserves the right to change this recommended Study Plan of Studies as and when
required.
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