UG Courses
B. Tech. (Bioinformatics)
B.Tech Bioinformatics offered at TNAU is a four year UG degree program. This program was started in the year 2006-07. The curriculum is designed to empower the students on the basics of three integral disciplines biology, computer science and information technology and allows the students to enable their skills for applying vast amount of biological information issues in the field of genomics, proteomics, drug designing, molecular medicine and crop improvement.
Salient features of the course
- Specialized software for modeling and docking studies viz.Schrodinger, Discovery Studio and Biosuite
- Department Library and e-Journals subscriptions.
- Industrial and Institutional Educational Tour to update the students on R & D in leading national and international institutes and industries
- Project work in two semesters to specialize in particular research area under the guidance of faculties.
- Exposure to guest lectures by eminent scientists/entrepreneurs.
- Field trips for hands-on experience.
- Bioinformatics work experience for three months in reputed research Institutes & Firms.
- All India tour to various Bioinformatics Institutes and companies to gather knowledge on wider research areas.
Syllabus
The syllabi for B. Tech (Bioinformatics) courses are well designed as per the guidelines of ICAR, considering the requirements of the students for higher studies and placement at research laboratories, pharma companies, agricultural industries, bioinformatics industries, IT and banking sectors and opinion from bioinformatics experts.
Sixty percent of the syllabus includes core subjects of bioinformatics and forty percent of the syllabus covers the allied courses from Programming languages, Mathematics, Statistics, Agriculture, Communication, Economics and Management.
Syllabus download link
Programme Outcomes (PO) of B. Tech (Bioinformatics)
| PO1 |
An ability to compile the available Biological information in a systematic manner. |
| PO2 |
An ability to develop databases, algorithms and tools for the analysis of Biological data. |
| PO3 |
An ability to apply knowledge of mathematics, science, and engineering. |
| PO4 |
An ability to design and conduct experiments, as well as to analyse and interpret data. |
| PO5 |
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability. |
| PO6 |
An ability to function on multidisciplinary fields. |
| PO7 |
An ability to identify, formulate, and solve engineering problems. |
| PO8 |
An understanding of professional and ethical responsibility. |
| PO9 |
An ability to communicate effectively. |
| PO10 |
The broad education necessary to understand the impact of engineering solutions in global, economic, environmental, and societal context. |
| PO11 |
A recognition and ability to engage in lifelong learning. |
| PO12 |
A knowledge of contemporary issues. |
| Method of measuring attainment of POs |
| Programme outcomes are periodically measured through established procedures of conducting examinations and evaluations. Students are encouraged to take up assignments and prepare project proposals and execute projects guided by the mentors. Success of the programme is reflected from the students’ placements at leading national and international institutes for pursuing higher education through winning competitive and meritorious fellowships and also taking up career in reputed institutions. |
Programme Specific Outcomes (PSO) of B. Tech (Bioinformatics)
| PSO1 |
An ability to use the techniques, skills, and advanced tools necessary for innovative Biotechnology Applications. |
| PSO2 |
To provide an in-depth knowledge of all the necessary concepts of Bioinformatics, Biology, Information technology and soft skill development. |
| PSO3 |
To provide practical and professional work experience through compulsory internship trainings at various reputed Life Sciences Companies and research institutes worldwide. |
| PSO4 |
To impart ethical values of Life to students via Value Education, NSS / NCC / Yoga. |
| PSO5 |
To provide Aptitude training, Spoken English etc. required for various placement examinations and competitive examinations. |
| PSO6 |
To integrate the advancements in information and computational technology for applications in Biological Sciences. |
| Method of measuring attainment of PSOs |
| Programme specific outcomes are ascertained by periodic review of the teaching and research activities at the institute and presentation of the progress at leading national and international journals as research publications. Further independent expert reviews and teaching seminars are also conducted for evaluating the teachers and students for keeping the morale and scientific temper and for the wholesome development of education and research activities of the department. |
Course Outcomes of B. Tech (Bioinformatics)
| BIF 101 Introductory Bioinformatics (1+1) |
| CO1 |
To get introduced to the basic concepts of Bioinformatics and its significance in Biological data analysis. |
| CO2 |
Describe the history, scope and importance of Bioinformatics and role of internet in Bioinformatics. |
| CO3 |
Explain about the methods to characterise and manage the different types of Biological data. |
| CO4 |
Classify different types of Biological Databases. |
| CO5 |
Introduction to the basics of sequence alignment and analysis. |
| CO6 |
Overview about biological macromolecular structures and structure prediction methods. |
| BIF 102 Biological databases (1+1) |
| CO1 |
To gain knowledge about various Biological databases that provide information about nucleic acids and protein. |
| CO2 |
Introduction to Biological databases and database systems. |
| CO3 |
Overview about types and Biological data and database search tools. |
| CO4 |
Describe about the different types of Biological databases. |
| CO5 |
Explain about different types of protein and other organism specific databases. |
| CO6 |
Overview about pathway and enzyme databases, Sequence submission tools. |
|
| BIF 201 Macromolecular structures (2+0) |
| CO1 |
To understand the structural organisation, structural properties and various techniques employed in the structure determination of Biological macromolecules – DNA, Protein and Carbohydrates |
| CO2 |
Explain about primary and secondary structures of proteins |
| CO3 |
Explain about tertiary and quaternary structures of proteins |
| CO4 |
Describe about protein folding and its significance |
| CO5 |
Explain about Nucleic Acid Structures, its classification and interaction with proteins |
| CO6 |
Describe about structural and biological properties of Carbohydrates and lipids |
|
| BIF 202 Methods in Bioinformatics (2+0) |
| CO1 |
To get exposed to computational methods, tools and algorithms employed for Biological Data Interpretation |
| CO2 |
Explain about the concept of pairwise sequence alignment , algorithms and tools for pairwise alignment |
| CO3 |
Describe about Multiple Sequence Alignment, its significance, algorithms and tools used for MSA |
| CO4 |
Describe about the various techniques, algorithms and tools used for Phylogenetic Analysis |
| CO5 |
Explain about various computational methods and tools used for protein secondary structure prediction and genome analysis |
| CO6 |
Explain about various techniques used in genomics and proteomics |
|
| BIF 301 Lab course on sequence analysis (0+2) |
| CO1 |
To provide hands on training on various computational tools and techniques employed in Biological sequence analysis |
| CO2 |
Introduction to nucleotide and protein sequence analysis packages |
| CO3 |
Describe about sequence alignment and similarity search tools |
| CO4 |
Exposure to multiple sequence alignment and protein functional annotation |
| CO5 |
Explain about protein and RNA structure analysis tools |
| CO5 |
Describe about various tools involved in genome annotation |
|
| BIF 302 Molecular Modelling and Simulation (2+1) |
| CO1 |
BIF 302 Molecular Modelling and Simulation (2+1) |
| CO2 |
Introduction to the concept of molecular modelling |
| CO3 |
Explanation about various approaches in protein three dimensional structure prediction |
| CO4 |
Describe about the concept of Molecular mechanics |
| CO5 |
Explain about various methods used in energy minimization |
| CO6 |
Describe about various methods used in molecular dynamics and simulation |
|
| BIF 303 Genome Sequencing, Assembly and Annotation (1+2) |
| CO1 |
To gain knowledge on various techniques, algorithms and tools employed in DNA sequencing, assembly and its applications in Next Generation Sequencing. |
| CO2 |
Explain about various techniques and instrumentations used for nucleotide sequencing |
| CO3 |
Describe about various approaches in genome sequencing and NGS |
| CO4 |
Classify and explain about tools used for genome sequence assembly |
| CO5 |
Explain about various algorithms used for genome sequence assembly |
| CO6 |
Explain about various approaches employed in genome annotation |
|
| BIF 304 Pharmacogenomics (2+1) |
| CO1 |
To gain knowledge about various concepts employed in drug discovery and its applications towards personalized medicine which involves specific analysis of genes important for drug response and drug effect. |
| CO2 |
Introduction about drugs – their properties and classification |
| CO3 |
Describe about drug response to genetic variations |
| CO4 |
Exposure to case studies in pharmacogenomics |
| CO5 |
Explanation about basic concepts of toxicogenomics |
| CO6 |
Describe about databases for toxicogenomics |
|
| BIF 305 Phylogenetic Analysis (1+1) |
| CO1 |
To get exposed to various tools and methodologies used in multiple sequence alignment, phylogenetic analysis and genetic diversity analysis observed in biological sequences |
| CO2 |
Explain about the basic concepts of genetic diversity and its significance |
| CO3 |
Describe about characterization of genetic diversity |
| CO4 |
Explain about utilization of genetic diversity in agriculture, cattle and poultry |
| CO5 |
Describe about various approaches in phylogenetic analysis |
| CO6 |
Explain about the various methods and tools used for the study of genetic diversity |
|
| BIF 306 Cheminformatics and drug discovery (2+1) |
| CO1 |
To impart knowledge on chemical databases, various advanced techniques and tools like docking, QSAR studies etc employed in computational drug discovery |
| CO2 |
Introduction about the basic concepts of cheminformatics |
| CO3 |
Explain about various approaches used in the design of pharmacophores |
| CO4 |
Describe about the concepts of SAR & QSAR |
| CO5 |
Explain various techniques used in virtual screening |
| CO6 |
Describe about various techniques used in Structure Based Drug Design |
|
| BIF 307 Metabolomics and Systems Biology (2+1) |
| CO1 |
To provide a system level understanding of complex interactions within biological systems and to model the biological systems employing computational and mathematical concepts. |
| CO2 |
Introduction to systems Biology, its significance, applications and experimental procedures. |
| CO3 |
Describe about various approaches used in the simulation of metabolic pathways Explain about gene regulatory networks |
| CO4 |
Describe about network motifs and their use in Biology |
| CO4 |
Exposure to various databases used in Systems Biology |
|
