Which of the following does not describe the local alignment algorithm?
निम्नलिखित में से कौन-सा स्थानीय संरेखण (लोकल अलाइनमेंट) एल्गोरिदम का सही वर्णन नहीं करता है?
ICAR AIEEA PG Statistical Science 14 July 2023 Shift-1 Paper
Official ICAR AIEEA PG 2023 solved question paper with verified bilingual step-by-step solutions.
MAtDB is a model organism database for:
MAtDB किस मॉडल जीव का डेटाबेस है?
What is the primary objective of bioinformatics?
जैव सूचना विज्ञान (बायोइन्फॉर्मेटिक्स) का प्राथमिक उद्देश्य क्या है?
Which of the following is not an example of DBMS?
निम्नलिखित में से कौन-सा डेटाबेस प्रबंधन प्रणाली का उदाहरण नहीं है?
Which of the following is known as a set of entities of the same type that share the same properties or attributes?
एक ही प्रकार की ऐसी संस्थाओं (एंटीटीज) के समूह को क्या कहा जाता है जो समान गुण या विशेषताएं साझा करती हैं?
General Agriculture, Economics & Extension
8 Topics
Agronomy, Agro-Climatic Zones, Cropping Systems, Tillage and Soil Fertility Management
Major Plant Diseases, Insect Pests, Weeds and Integrated Pest Management (IPM)
Plant Physiology, Mineral Nutrition, Genetics and Plant Breeding Fundamentals
Historical Milestones, Agricultural Research Infrastructure and ICAR Institutes
Micro & Macro Economics: Demand, Supply, Production Costs and Market Structures
Agricultural Marketing, Market Intermediaries, Price Policy, MSP and Buffer Stocking
Agricultural Finance, Credit Institutions (NABARD, RRBs, Commercial Banks) and KCC
Extension Education Principles, Rural Development Programs and Community Reconstruction
Mathematics
9 Topics
Differential Calculus: Limits, Continuity, Differentiability, Successive Differentiation and Expansion of Functions
Sequences and Series: Arithmetic, Geometric, Harmonic Progressions and Infinite Series Convergence
Matrices and Determinants: Matrix Operations, Rank, Inverse, Systems of Linear Equations and Eigenvalues
Sets, Relations, Functions, Mathematical Induction and Theory of Equations
Integral Calculus: Definite and Indefinite Integrals, Reduction Formulas and Areas Under Curves
Differential Equations: First Order Ordinary Differential Equations, Linear Differential Equations with Constant Coefficients
Applications of Derivatives: Tangents, Normals, Maxima-Minima, Mean Value Theorems and Indeterminate Forms
Numerical Methods: Interpolation, Numerical Differentiation, Integration (Trapezoidal, Simpson) and Root Finding
Coordinate Geometry: Straight Lines, Circles, Parabola, Ellipse and Hyperbola in Two Dimensions
Statistical Methods & Experimental Designs
14 Topics
Theoretical Discrete Probability Distributions: Bernoulli, Binomial, Poisson, Geometric and Hypergeometric
Design of Experiments: Principles of Experimentation, CRD, RBD, Latin Square Design (LSD) and Factorial Experiments
Probability Theory: Classical, Axiomatic Definitions, Addition, Multiplication Theorems and Bayes Theorem
Small Sample Tests: Students t-test, Snedecors F-test, Chi-Square Test of Goodness of Fit and Contingency Tables
Measures of Central Tendency: Arithmetic Mean, Geometric Mean, Harmonic Mean, Median and Mode
Theoretical Continuous Probability Distributions: Uniform, Normal, Exponential, Beta and Gamma Distributions
Sampling Theory: Census vs Sample Survey, Sampling Errors, SRSWOR, SRSWR, Stratified, Systematic and Cluster Sampling
Measures of Dispersion: Range, Quartile Deviation, Mean Deviation, Standard Deviation and Coefficient of Variation
Testing of Hypotheses: Null and Alternative Hypotheses, Type I and II Errors, Significance Level, Large Sample Tests (Z-test)
Collection, Classification and Tabulation of Data, Frequency Distributions and Graphical Representations
Regression Analysis: Simple and Multiple Linear Regression, Least Squares Principle, Properties and R-Squared
Random Variables, Probability Mass and Density Functions, Expectation and Moment Generating Functions
Correlation Analysis: Simple, Partial, Multiple Correlation, Pearson Coefficient and Rank Correlation
Moments, Skewness (Karl Pearson, Bowley) and Kurtosis
Computer Applications & Bioinformatics
10 Topics
Computer Networks and Internet: Topologies (LAN, WAN, MAN), OSI Model, TCP/IP, Protocols (HTTP, FTP) and Web
Computer Architecture and Hardware: Generations of Computers, CPU, Memory Hierarchy (RAM, ROM, Cache), Input-Output
Active
System Software and Operating Systems: Functions of OS, DOS Commands, Windows OS, Linux/Unix Architecture
Application Software: Word Processing, Spreadsheets (MS Excel Formulas, Functions, Charts), DBMS Basics
Number Systems and Boolean Algebra: Binary, Octal, Hexadecimal Conversions, Logic Gates and Truth Tables
Sequence Alignment and Computational Genomics: Pairwise and Multiple Alignment (BLAST, FASTA, Clustal), Scoring Matrices
Cyber Security and Data Protection: Computer Viruses, Malware, Firewalls, Cryptography Basics and IPR
Programming Fundamentals: Algorithms, Flowcharts, Control Structures, Loops, Functions, Arrays and Pointers in C/C++
Object-Oriented Programming and Modern Languages: Concepts of OOP (Classes, Objects, Inheritance), Python and R
Introduction to Bioinformatics: Scope, Biological Databases (NCBI, GenBank, EMBL, UniProt, PDB) and Data Retrieval
Official PYQ Papers
Previous Year Papers of Statistical Sciences
Practice official shift-wise question papers with answer keys and detailed explanations on the actual exam pattern.
3
Total Available
Previous Papers
2024
29-06-2024
ICAR AIEEA PG 2024 - Statistical Sciences
2023
14-07-2023
ICAR AIEEA PG Statistical Science 14 July 2023 Shift-1 Paper
2023
09-07-2023