Bioinformatics — MCQs Biology

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1. Bioinformatics is the application of:
(A) Chemistry in biology
(B) Classical genetics only
(C) Microscopy techniques
(D) Computational tools to analyze biological data

2. The primary focus of bioinformatics is:
(A) Storage, retrieval, and analysis of biological data
(B) Protein folding only
(C) Chromosome counting
(D) RNA transcription

3. GenBank is a database for:
(A) Protein sequences
(B) RNA folding
(C) DNA sequences
(D) Metabolites

4. UniProt database stores information on:
(A) DNA sequences
(B) Protein sequences and functional information
(C) RNA sequences
(D) Chromosome maps

5. BLAST stands for:
(A) Biological Linked Annotation Search Technology
(B) Bioinformatics Large Analysis Sequence Tool
(C) Basic Local Alignment Search Tool
(D) Basic Ligase Activity Screening Test

6. BLAST is used to:
(A) Align protein or DNA sequences to find similarity
(B) Amplify DNA
(C) Cut DNA
(D) Visualize chromosomes

7. Multiple sequence alignment is important to:
(A) Sequence proteins
(B) Cut DNA
(C) Identify conserved regions in sequences
(D) Analyze metabolites

8. Phylogenetic analysis in bioinformatics is used to:
(A) Study protein folding
(B) Study evolutionary relationships
(C) Cut DNA
(D) Sequence RNA only

9. FASTA format is used for:
(A) Storing metabolic pathways
(B) Storing protein structures
(C) Storing nucleotide or protein sequences
(D) Chromosome maps

10. ClustalW is a tool used for:
(A) Protein 3D structure prediction
(B) Multiple sequence alignment
(C) DNA amplification
(D) Phylogenetic tree visualization

11. SNP databases contain:
(A) Single nucleotide polymorphisms in genomes
(B) Protein sequences
(C) RNA structures
(D) Metabolites

12. Gene ontology (GO) provides information about:
(A) DNA replication
(B) Protein folding
(C) Functions, processes, and cellular location of genes/proteins
(D) RNA transcription

13. Structural bioinformatics studies:
(A) DNA sequences only
(B) Metabolic pathways
(C) RNA transcription
(D) 3D structures of proteins and nucleic acids

14. Homology modeling is used for:
(A) Predicting DNA sequences
(B) RNA splicing
(C) Predicting 3D protein structures based on known homologs
(D) Chromosome mapping

15. Docking studies in bioinformatics are used to:
(A) Analyze protein-protein or protein-ligand interactions
(B) Sequence DNA
(C) Cut RNA
(D) Visualize chromosomes

16. Bioinformatics algorithms help in:
(A) All of the above
(B) Data retrieval
(C) Data analysis
(D) Data storage

17. FASTQ files store:
(A) Sequencing reads and quality scores from NGS
(B) Protein sequences
(C) DNA microarray data
(D) Chromosome maps

18. The human genome project relied heavily on:
(A) PCR
(B) Mass spectrometry
(C) Microarrays only
(D) Bioinformatics tools for assembly and annotation

19. Sequence alignment scoring considers:
(A) Protein folding
(B) Matches, mismatches, and gaps
(C) Chromosome number
(D) Metabolite abundance

20. Pairwise sequence alignment compares:
(A) Only RNA
(B) Multiple sequences
(C) Only proteins
(D) Two sequences at a time

21. Multiple sequence alignment can be used to:
(A) Sequence DNA
(B) Construct phylogenetic trees
(C) Measure RNA abundance
(D) Analyze metabolites

22. Pfam database contains:
(A) Metabolites
(B) DNA sequences
(C) RNA sequences
(D) Protein families and domains

23. The PDB (Protein Data Bank) stores:
(A) Metabolites
(B) DNA sequences
(C) RNA sequences
(D) Protein 3D structures

24. Gene prediction tools are used to:
(A) Identify coding regions in genomic sequences
(B) Sequence proteins
(C) Visualize metabolites
(D) Align RNA sequences

25. Bioinformatics plays a crucial role in:
(A) All of the above
(B) Proteomics
(C) Transcriptomics
(D) Genomics

26. Orthologs are:
(A) Non-coding RNA only
(B) Genes duplicated within a genome
(C) Mutated genes
(D) Genes in different species derived from a common ancestor

27. Paralogs are:
(A) Duplicate genes within the same genome
(B) Genes in different species derived from a common ancestor
(C) RNA variants
(D) Metabolites

28. Microarray data analysis is part of:
(A) Metabolomics
(B) Proteomics
(C) Functional genomics
(D) Structural genomics

29. Bioinformatics can be applied to:
(A) Drug discovery
(B) Disease gene identification
(C) Evolutionary studies
(D) All of the above

30. Hidden Markov Models (HMMs) are used in:
(A) Chromosome staining
(B) PCR amplification
(C) Gene and protein sequence analysis
(D) Protein folding

31. Transcriptome analysis can be performed using:
(A) RNA-Seq and microarrays
(B) Mass spectrometry only
(C) PCR only
(D) Northern blot only

32. Bioinformatics pipelines are used to:
(A) Cut DNA
(B) Sequence proteins only
(C) Measure metabolites
(D) Automate data analysis

33. Comparative genomics relies on:
(A) Protein folding studies
(B) Sequence alignment tools
(C) Chromosome counting
(D) RNA splicing

34. Homology search tools include:
(A) BLAST
(B) FASTA
(C) ClustalW
(D) Both A and B

35. Phylogenetic trees can be constructed using:
(A) Neighbor-joining method
(B) All of the above
(C) Parsimony method
(D) Maximum likelihood method

36. SNP analysis helps in:
(A) Protein folding
(B) Studying genetic variation
(C) Chromosome mapping only
(D) RNA splicing

37. Protein structure prediction can be done using:
(A) Homology modeling
(B) All of the above
(C) Threading
(D) Ab initio methods

38. Metagenomics data analysis uses:
(A) PCR only
(B) Mass spectrometry only
(C) Bioinformatics for microbial community studies
(D) Protein sequencing

39. Systems biology integrates:
(A) Protein folding only
(B) DNA sequencing only
(C) RNA transcription only
(D) Genomic, transcriptomic, proteomic, and metabolomic data

40. Next-generation sequencing (NGS) generates:
(A) Metabolite data only
(B) Protein structures only
(C) Chromosome maps only
(D) Large-scale sequence data

41. FASTA and FASTQ formats differ because:
(A) FASTA stores sequences, FASTQ stores sequences with quality scores
(B) FASTA stores proteins only
(C) FASTQ stores DNA only
(D) They are identical

42. Bioinformatics tools are used to:
(A) Predict gene function
(B) Annotate genomes
(C) All of the above
(D) Visualize biological networks

43. RNA-Seq data analysis involves:
(A) Mapping reads to a reference genome
(B) Quantifying gene expression
(C) Identifying novel transcripts
(D) All of the above

44. Phylogenetic inference methods include:
(A) Maximum parsimony
(B) Maximum likelihood
(C) Bayesian inference
(D) All of the above

45. Functional annotation of genes involves:
(A) Protein quantification
(B) Predicting 3D structures
(C) Assigning biological roles to genes
(D) Chromosome counting

46. KEGG database provides information about:
(A) Metabolic pathways and gene networks
(B) Protein 3D structures
(C) DNA sequences
(D) RNA transcripts only

47. Pfam and SMART databases are used for:
(A) Metabolite analysis
(B) RNA sequencing
(C) Chromosome mapping
(D) Protein domain and family identification

48. Bioinformatics contributes to personalized medicine by:
(A) All of the above
(B) Predicting drug responses
(C) Designing targeted therapies
(D) Identifying disease-associated genes

49. Structural alignment compares:
(A) 3D structures of proteins or nucleic acids
(B) DNA sequences only
(C) RNA sequences only
(D) Metabolites

50. The primary programming languages used in bioinformatics include:
(A) Java only
(B) Python, R, Perl
(C) C++ only
(D) HTML only