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CUET PG Bio-Informatics Syllabus 2027, Exam Pattern
CUET PG Bio-Informatics Syllabus 2027, Exam Pattern, Exam Date 2027
Detail Information about CUET PG has published notification 2027 for this exam of Bio-Informatics (SCQP06) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Exam with Latest Update Exam Pattern and the Exam
CUET PG Syllabus 2027 - Overview
| Full Exam Name | Central Universities Entrance Test (CUET) |
| Conducting Body | National Testing Agency (NTA) |
| Frequency of Conduct | Once a year |
| Exam Level | University Level |
| Courses Offered | Postgraduate |
| Mode of Application | Online |
| Mode of Exam | Online (Computer-based Test) |
| Type of questions | Multiple-choice questions |
| Category | Syllabus and Exam Pattern |
| Official website | https://cuet.nta.nic.in/ |
CUET PG Bio-Informatics Syllabus 2027
Bio-Informatics (SCQP06)
Unit 1: Mathematics and Statistical Foundation
1. Calculus: The concept of limit of a Functions, continuity, differentiability, successive differentiation, Leibnitz theorem, asymptotes, definite integrals, reduction formulae, order and degree of ordinary differential equations, linear differential equations with constant coefficient and Laplace transformations.
2. Algebra: Mappings, groups, subgroups, matrices, elementary operations of matrices, inverse of matrices, application of matrices to system of linear equations, vector spaces, linear transformation and their matrix representations.
3. Analysis Open set, closed set, limit, continuity, Taylor's theorem, Lagrange's mean theorem, Rolle's Theorem, sequences and series, convergence of series.
4. Probability Distribution: Basics of Binomial, Poisson and Normal distributions and their application in biology. Random Variable; Discrete and Continuous Probability Distribution, Probability mass function, probability Density function, Mathematical Expectation.
5. Geometry Plane, straight line, sphere, cone, cylinder, conicoid.
Unit 2: Role of Chemistry in Bioinformatics
1. Kinetic theory of gases, Atomic Structure, Periodic Properties, Chemical bonding, Distribution of electrons in organic compounds.
2. Homogenous equilibria, chemical Kinetics, p and d block elements, Stereo Chemistry, Configurational Isomerism, Elements of symmetry, Chirality.
3. Colligative properties, thermodynamics, Chemistry of elements of first transition series, Coordination Compounds, Organometallic Compounds, Alicyclic Compounds
4. Esters containing active methylene group, Aromatic Compounds, Nuclear Chemistry, Zero group elements, Phase Rule and Electrochemistry.
Unit 3: Biochemistry and Molecular Biology
1. Carbohydrates and lipids, their importance in cells. Proteins: Amino acids and peptides; primary, secondary, tertiary and quaternary structures; protein – protein interactions; sequence homology, functional and evolutionary relationships of proteins.
2. Nucleic acids: Bases, nucleotides, RNA and DNA. Different Structural from of DNA, denaturation and renaturation of DNA, protein-nucleic acid interactions.
3. Enzymes: Units of activity, coenzymes and metal cofactors, temperature and pH effects, Michaelis Menten kinetics, inhibitors and activators, active site and mechanism of enzyme action, isoenzymes, allosteric enzymes, regulation by covalent modification. Organization of metabolic systems: enzyme chains, multienzyme complexes and multifunctional enzymes, regulatory enzymes and feedback control of metabolic pathways, energy charge
4. Carbohydrate metabolism: Glycolysis, gluconeogenesis, glycogenolysis, glycogenolysis and pentose phosphate pathway; hormonal control. TCA cycle and oxidative phosphorylation.
5. B-oxidation and biosynthesis of fatty acids. Transamination and deamination of amino acids, ketogenic and glycogenic and glycogenic amino acids, urea cycle. Purine and pyrimidine biosynthesis.
Unit 4: Microbiology and Immunology
1. Viruses: Morphology, Architecture, Nomenclature, Classification and symmetry, Structure of a typical plant (TMV), Animal (polio) and Bacterial (T4) Viruses; Bacteriophages (Lytic & lysogenic cycles)
2. Role of microorganisms in biogeochemical cycles of Nitrogen and Carbon. Biological nitrogen fixation with special reference to Rhizobium. Industrial application of microorganisms: Organic acids, alcohol, food processing, milk products with special reference to Lactobacillus, antibiotics with reference to Streptomyces, biopesticides.
3. Methods in Microbiology – staining, sterilization method culture media, pure culture methods, methods for population estimation, growth determination.
4. Immunology: Immunity, Immune system in Human: Active and Passive Immunity, Antigens, Antibodies, Classes of Immunoglobulins, Antigen – Antibody reaction, B-cells and T-cells and their role in immunity to infection, Autoimmunity.
5. Immunity to infectious agents; AIDS and other immunodeficiencies, Vaccines, Hybridoma Technology and Monoclonal antibodies, Gene Therapy.
Unit 5: Genetic Engineering, Gene Sequencing and RDT
1. DNA as genetic material, Structure and Biological importance of DNA; Types of RNA and their structure; Replication of DNA. Genetic code, Central Dogma, Transcription, Translation, RNA editing, DNA repair. Introduction: Plasmids and bacteriophages: Cosmides, M13, Shuttle vectors and LaMDA of E. coli, Applications of genetic engineering in medicine, industry and agriculture. Enzymes for RDT: polymerase, restriction endonucleases, ligases, Introduction of r-DNA into living cells – Transformation and Transfection, Identification of recombinants.
2. Techniques in Genetic Engineering : PCR, Gene Sequencing – Maxam Gilbert method & Sanger method, Electrophoresis, Southern and northern blotting techniques. Transgenic plants and animals, Gene therapy, Intellectual Property Rights, Bioethics.
Unit 6: Bio-Physics
1. Energetics of a living body, sources of heat limits to temperature (qualitative treatment), heat dissipation to conservation, laws of thermodynamics. Nature of chemical bonds, intra and intermolecular interaction in biological systems. Force field used in Molecular Dynamics Simulation.
2. Absorption spectroscopy- Beer-Lambert’s law, Colorimetry to Spectrophotometry (single and double beam spectrophotometer), primary biophysical events in photosynthesis.
3. Spectroscopic techniques to find out molecular structure (quantitative techniques), general spectroscopy (UV, Visible, Fluorescence, Atomic absorption, IR to Raman spectra). Instrumental techniques: Concept of chromatography, electrophoresis; spectrophotometry, UV-VIS, IR, NMR, -and spectroscopy.
4. Physical methods of imaging, intact biological structures (X-ray, CT-Scan, ECG, EEG, NMR) and radioactive pollution- GM counter
5. Structure of proteins – primary, secondary, tertiary and quaternary. X-ray crystallography Physical methods for determining size and shape of macromolecules – diffusion to sedimentation, reverse osmosis, ultracentrifugation, Ramachandran Plot Analysis.
Unit 7: Fundamentals of Information Technology and Computer Programming
1. An overview of resolution in computers and communication. Applications software (Word processing, spreadsheets, database, financial, communicating etc.) Processors (micro clips, CPU., Main memory, representation of data & programs, microcomputer system unit, future processing power), Input and output, storage, Interactivity, Multimedia
2. System Software, The use of online resources and the internet, Communications technology (hardware, channels & Networks), Software development (programming & languages).
3. Introduction to programming in C++, C++ control structures (if, if/else, while, do/while, for, switch).
4. Functions (definition and prototypes, storage classes, Scope rules, Recursion, inline functions, references and reference parametric, function overloading, function templates), Arrays (declaration, passing arrays to functions, sorting and searching arrays, multiple subscripted arrays.
5. Pointers (declaration & initialization, pointer operators, calling functions by reference, pointer expression and pointer arithmetic, pointers & arrays, arrays of pointers, function pointers), Introduction to characters and string processing, classes (structures, class scope, access utility functions, constructors, destructors, use of data members and member functions).
6. Color models: CMY, HSV, RGB, Visualization techniques. Graphics display devices, Raster and Random scan devices, color CRT monitors, LCD and LED.
7. Artificial Neural Networks, Genetic algorithm, Bayesian modeling, Monte Carlo Simulation Method, Markov Models and their application.
8. Perl basic: Variables, Perl operations, A Program to store DNA sequence, Concatenating DNA fragment, Transcription: DNA to RNA, Subroutines, scoping and subroutines, command-line arguments and arrays passing data to subroutines, modules and libraries of subroutines, fixing bugs.
Unit 8: Basics of Bio-Informatics
1. What is Bioinformatics and its relation with molecular biology Examples of related tools, databases and software, Data generation; Generation of large scale molecular biology data. (Through Genome sequencing, Protein sequencing, Gel electrophoresis, NMR Spectroscopy, X-Ray Diffraction, and microarray). Applications of Bioinformatics.
2. Biological Database and its Types, Introduction to data types and Source. Population and sample, Classification and Presentation of Data. Quality of data, private and public data sources. General Introduction of Biological Databases; Nucleic acid databases, Protein databases (Primary, Composite, and Secondary).Specialized Genome databases: Structure databases
3. Data storage and retrieval and Interoperability, Flat files, relational, object oriented databases and controlled vocabularies. File Format, Introduction to Metadata and search; Indices, Boolean, Fuzzy, Neighboring search. The challenges of data exchange and integration. Ontologies, interchange languages and standardization efforts.
4. Sequence Alignments and Visualization, Introduction to Sequences, alignments and Dynamic Programming, Local alignment and Global alignment (algorithm and example), Pairwise alignment and multiple sequence alignment. Methods for presenting large quantities of biological data: sequence viewers, 3D structure viewers, Anatomical visualization.
5. Gene Expression and Representation of patterns and relationship, General introduction to Gene expression in prokaryotes and eukaryotes, transcription factors binding sites. SNP, EST, STS. Introduction to Regular Expression, Hierarchies, and Graphical models (including Marcov chain and Bayes notes). Genetic variability and connections to clinical data.
CUET PG Bio-Informatics Exam Pattern 2027
Bio-Informatics (SCQP06)
Duration : 90 Minutes
Negative Marking : 01
Medium : English and Hindi
Correct Answer : 4 marks will be awarded for each correct response.
| S.No. | Subject | No.of Question | Marks |
| 1. |
Bio-Informatics
|
75 | 300 |
| Total | 75 | 300 |
CUET PG Exam Date 2027 : March to April 2027 (Tentative)
Starting Date of Application Form : January 2027
Last Date of Application Form : February 2027
FAQs
CUET Pg Bio-Informatics 2027 Exam Syllabus Frequently Asked Questions (FAQ's)
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In this article Page, we have provided the required syllabus of the CUET PG Bioinformatics exam.
Being familiar with CUET PG Bioinformatics Exam Pattern will help you understand the types of questions asked, difficulty level of the exam and important topics that require your keen attention. It will also acquaint you with the marking scheme and time allotted to each Topics.
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CUET PG Bioinformatics exam is not tough but it depends on your preparation. The candidates find the Subject not challenging. The dedicated preparation in the right direction will undoubtedly take you towards the goal.
The candidates must be well versed and acquainted with the syllabus and the exam pattern. Select the areas where improvement is required and schedule your preparation accordingly. To ace this exam, the applicants ought to maintain speed with high accuracy. Practicing previous years question papers will help you understand the exam pattern and the level of difficulty of the exam. You need to hone your strengths and improve upon your weaknesses. Toppersexam.com will aid you through the preparation and drive you to success. At Toppersexam.com, you can practice a complete set of test series along with a free CUET PG Bioinformatics mock test designed by our expert faculty.
The syllabus of CUET PG Bioinformatics Exam includes all topics that are important for the exam and are necessary for thorough preparation. Toppersexam provides a complete and updated syllabus with a detailed topic-wise breakdown.
You can download the complete CUET PG Bioinformatics Exam syllabus PDF from toppersexam.com. The PDF is available free and includes a detailed list of topics, section-wise subjects, and weightage for better exam preparation.
Yes, CUET PG Bioinformatics Exam has a topic-wise syllabus that includes all relevant subtopics. Toppersexam provides the detailed breakdown, helping candidates focus on high-weightage areas and avoid missing important sections.
Toppersexam ensures that the CUET PG Bioinformatics syllabus is updated for 2026. The latest syllabus reflects current exam trends, question patterns, and updated topics as per official notifications.
The CUET PG Bioinformatics Exam pattern includes details like the number of sections, total questions, marks distribution, and exam duration. Toppersexam provides a comprehensive guide on exam format, marking scheme, and question types.
Yes, the majority of questions in CUET PG Bioinformatics Exam are MCQs. Toppersexam provides practice MCQs with answers to help candidates understand the question pattern and improve accuracy.
Yes, questions are divided section-wise. Toppersexam provides a clear guide on how many questions are asked per section and their difficulty level for effective preparation.
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Start by dividing the syllabus into sections and prioritizing high-weightage topics. Toppersexam provides a preparation strategy, along with topic-wise tips and sample questions to make syllabus analysis easier.
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