• Here’s list of Questions & Answers on Bioinformatics Subject covering 100+ topics:

Highlights

– 1000+ Multiple Choice Questions & Answers in Bioinformatics with explanations
– Every MCQ set focuses on a specific topic in Bioinformatics Subject

Who should Practice these Bioinformatics Questions?
– Anyone wishing to sharpen their knowledge of Bioinformatics Subject
– Anyone preparing for aptitude test in Bioinformatics
– Anyone preparing for interviews (campus/off-campus interviews, walk-in interview and company interviews)
– Anyone preparing for entrance examinations and other competitive examinations
– All – Experienced, Freshers and Students

1. Questions & Answers on Sequence Alignment

The section contains questions and answers protein motfis, motif and domain databases using regular expressions and statistical models, protein family databases, global and local sequence alignment, dot matrix sequence comparison and bayesian statistics.

Protein Motifs and Domain Prediction
Motif and Domain Databases Using Regular Expressions
Motif and Domain Databases Using Statistical Models 
Protein Family Databases
Global Sequence Alignment
Local Sequence Alignment
Motif Discovery in Unaligned Sequences
Dot Matrix Sequence Comparison
Dynamic Programming Algorithm for Sequence Alignment
Use of Scoring Matrices and Gap Penalties in Sequence Alignments
Assessing the Significance of Sequence Alignments
Bayesian Statistics

2. Questions on Pairwise Sequence Alignment

The section contains questions on sequence homology versus sequence similarity, methods and statistical significance of sequence alignment.

Sequence Homology Versus Sequence Similarity and Identity
Methods
Statistical Significance of Sequence Alignment

3. Questions & Answers on Multiple Sequence Alignment

The section contains questions and answers on exhaustive and heuristic algorithms, wunsch algorithm, progressive and iterative methods of multiple sequence alignment, sequences localized alignment, aiding alignment statistical methods and specific scoring matrices.

Exhaustive Algorithms
Heuristic Algorithms
Needleman – Wunsch Algorithm
Progressive Methods of Multiple Sequence Alignment
Iterative Methods of Multiple Sequence Alignment
Localized Alignments in Sequences
Statistical Methods for Aiding Alignment
Position – Specific Scoring Matrices

4. Questions on Database Similarity Searching

The section contains questions on heuristic database searching, blast, fasta, smith – waterman method, fasta and blast comparison.

Heuristic Database Searching
Basic Local Alignment Search Tool (BLAST)
FASTA
Comparison of FASTA and BLAST
Database Searching with the Smith – Waterman Method

5. Questions & Answers on Structural Bioinformatics

The section contains questions and answers on protein structure basics and structural visualization, protein structure comparison and classification.

Protein Structure Basics
Protein Structural Visualization
Protein Structure Comparison
Protein Structure Classification

6. Questions on Secondary Structure Prediction

The section contains questions on protein secondary structure prediction, secondary structure and coiled coil prediction.

Protein Secondary Structure Prediction for Globular Proteins
Secondary Structure Prediction for Transmembrane Proteins
Coiled Coil Prediction

7. Questions & Answers on Protein Tertiary Structure Prediction

The section contains questions and answers on ab initio protein structural prediction, threading and fold recognition.

Ab Initio Protein Structural Prediction & Homology ModelingThreading and Fold Recognition

8. Questions on RNA Structure Prediction

The section contains questions on rna structures, rna secondary structure prediction methods, ab initio and comparative approach, performance evaluation, prediction limitations, energy method and free grammars, rna genomes and rna structure modeling applications.

Types of RNA Structures
RNA Secondary Structure Prediction Methods
Ab Initio Approach
Comparative Approach
Performance Evaluation
Limitations of Prediction
Minimum Free – Energy Method & Stochastic Context – Free Grammars
MFOLD and the Use of Energy Plots
Searching Genomes for RNA & RNA Structure Modeling Applications

9. Questions & Answers on Genome Mapping, Assembly and Comparison

The section contains questions and answers on genome mapping and sequencing, genome sequence assembly, genome annotation and comparative genomics.

Genome Mapping
Genome Sequencing
Genome Sequence Assembly
Genome Annotation
Comparative Genomics

10. Questions on Functional Genomics & Proteomics

The section contains questions on sequence and microarray based approaches, sage and dna microarrays comparison, protein expression analysis, post translational modification, protein sorting and interactions.

Sequence – Based Approaches
Microarray-Based Approaches
Comparison of SAGE and DNA Microarrays
Technology of Protein Expression Analysis
Post Translational Modification
Protein Sorting
Protein Interactions

11. Questions & Answers on Molecular Phylogenetics

The section contains questions and answers on phylogenetics basics, tree representation forms, gene phylogeny versus species phylogeny.

Phylogenetics Basics
Gene Phylogeny Versus Species Phylogeny
Forms of Tree Representation

12. Questions on Phylogenetic Tree Construction Methods and Programs

The section contains questions on distance and character based methods, phylogenetic tree evaluation and programs, maximum parsimony method, maximum likelihood approach and reliability of phylogenetic predictions.

Distance Based Methods
Character Based Methods
Phylogenetic Tree Evaluation
Phylogenetic Programs
Maximum Parsimony Method
The Maximum Likelihood Approach
Reliability of Phylogenetic Predictions

13. Questions & Answers on Gene and Promoter Prediction

The section contains questions and answers on gene prediction programs categories, gene prediction in prokaryotes and eukaryotes.

Categories of Gene Prediction Programs
Gene Prediction in Prokaryotes
Gene Prediction in Eukaryotes – 1
Gene Prediction in Eukaryotes – 2

14. Questions on Promoter and Regulatory Element Prediction

The sections covers questions on prediction algorithms, promoter and regulatory elements in prokaryotes & eukaryotes.

Promoter and Regulatory Elements in Prokaryotes & Eukaryotes
Prediction Algorithms – 1
Prediction Algorithms – 2
Prediction Algorithms – 3

15. Questions & Answers on Predicting the Structure of Protein – Biomolecular Interactions

The section contains questions and answers on molecular complementarity, conformational flexibility, evaluation of models & visualization methods.

Molecular Complementarity
Conformational Flexibility
Evaluation of Models & Visualization Methods

16. Questions on Global Approaches for Studying Protein – Protein Interactions

The section contains questions on protein and domain interactions, gene order use and phylogeny to predict protein.

Protein – Protein Interactions
Structural Analyses of Domain Interactions
The Use of Gene Order & Phylogeny to Predict Protein – Protein Interactions

17. Questions & Answers on Predicting the Structure of Protein – Biomolecular Interactions

The section contains questions and answers on dna and genomic sequencing, cdna libraries of expressed genes, sequence formats and storage, database access program, genemo anatomy, comparative genomics, sequence assembly and gene identification.

DNA & Genomic Sequencing
Sequencing cDNA Libraries of Expressed Genes & Submission of Sequences to the Databases
Sequence Formats & Computer Storage of Sequences
Multiple Sequence Formats, Storage of Information in a Sequence Database
Using the Database Access Program ENTREZ
Genome Anatomy – 1
Genome Anatomy – 2
Genome Anatomy – 3
Sequence Assembly and Gene Identification – 1
Sequence Assembly and Gene Identification – 2
Sequence Assembly and Gene Identification – 3
Comparative Genomics – 1
Comparative Genomics – 2

18. Questions on Genome Analysis

The section contains questions on genes functional classification, global gene regulation and gene function prediction.

Functional Classification of Genes
Global Gene Regulation
Prediction of Gene Function Based on a Composite Analysis