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Baqai Institute of Information Technology

What is Bioinformatics?
 

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. 


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.

  • A bioinformatics must possess not only a strong grasp of computer science fundamentals, but must also be equally versed with biology and biochemistry.
     

  • 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.
     

  • 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

  • How life works from the molecular level to the whole organism level.
     

  • They want to be able to manipulate the protein and DNA information using the latest bioinformatics software and advanced computer hardware platforms.
     

  • These students want to be on the cutting edge of science and graduate with "the science degree of the 21st century"!

Applications

Bioinformatics techniques provide information that brings enormous power in areas ranging from disease diagnosis and treatment to evolution, agriculture, and environmental science.

Some of the application areas where Bioinformatics plays key role are

  • Identification of genes responsible for various pathological conditions and genetic disorders.

  • Agriculturally and nutritionally important genes.

  • Genes with applications in pharmaceutical industry

  • The study of structural and functional relationships

  • The identification of targets for drug discovery

  • Work on molecular evolution and genetic relationships.

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 

Eligibility 

H.S.C. (Pre-Engineering / Pre-Medical) or Equivalent

Duration 

4 Years

Semesters  

8

Credit Hours 

139

Recommended Study Plan for BS - (Bioinformatics)

Semester 1

Semester 2

 

Subject

Cr. Hrs.

 

Subject

Cr. Hrs.

BI-301 / BI-313

Basic Mathematics  /  Basic Biology

3

BI-302

Discrete Structures

3

BI-303

English Comprehension & Composition

3

BI-304

Pakistan & Islamic Studies

4

BI-305

Chemistry-I

3

BI-306

Biostatistics I

3

BI-307

Introduction to Computing

4(3+1)

BI-308

Data Structures & Algorithms

4(3+1)

BI-309

Computer Programming

4(3+1)

BI-310

Biochemistry-II

3(2+1)

BI-311

Biochemistry-I

BI-312

Chemistry-II

3

Semester Credits

20

Semester Credits

20

Semester 3

Semester 4

 

Subject

Cr. Hrs.

 

Subject

Cr. Hrs.

BI-401

Physics

3

BI-402

Operating Systems

3(2+1)

BI-403

Bioinformatics-I

4(3+1)

BI-404

Object Oriented Paradigm

4(3+1)

BI-405

Technical Report Writing

3

BI-406

Bioinformatics-II

3(2+1)

BI-407

Introduction to Software Development

3

BI-408

Molecular Biology-II

3(2+1)

BI-409

Molecular Biology-I

3(2+1)

BI-410

Digital Logic & Design

4(3+1)

BI-411

Differential Equations

3

BI-412

Multivariable Calculus

3

 

Semester Credits

19

 

Semester Credits

20

Semester 5

Semester 6

 

Subject

Cr. Hrs.

 

Subject

Cr. Hrs.

BI-501

Database Systems

3

BI-502

Visual Programming

3(2+1)

BI-503

Networking Fundamentals

3

BI-504

Advance Database Systems

3

BI-505

Biostatistics II

3

BI-506

Internet Programming

3(2+1)

BI-507

Software Engineering

3(2+1)

BI-508

Computer Graphics

3

BI-509

Microbiology

3

BI-510

Genomics

3(2+1)

 

Semester Credits

15

 

Semester Credits

15

Semester 7

Semester 8

 

Subject

Cr. Hrs.

 

Subject

Cr. Hrs.

BI-601

Artificial Intelligence

3

BI-602

Project

3

BI-603

Advance Web Engineering

3(2+1)

BI-604

Advance Algorithms for Bioinformatics

33

BI-605

Proteomics

3(2+1)

BI-606

Special topics in Bioinformatics

3

BI-607

Medical Informatics

3

BI-608

Advance Techniques in Biotechnology

3

BI-609 

Data Warehousing & Data Mining

3

BI-610

Neural Networks

3

 

Semester Credits

15

 

Semester Credits

15

 

BIIT reserves the right to change this recommended Study Plan of Studies as and when required.