Explore topic-wise MCQs in Bioinformatics.

This section includes 11 Mcqs, each offering curated multiple-choice questions to sharpen your Bioinformatics knowledge and support exam preparation. Choose a topic below to get started.

1.

Which of the following is untrue regarding SAGE?

A. It stands for Serial analysis of gene expression
B. It is another high throughput, sequence-based approach for global gene expression profile analysis
C. It stands for Squared analysis of gene expression
D. Unlike EST sampling, SAGE is more quantitative in determining mRNA expression in a cell
Answer» D. Unlike EST sampling, SAGE is more quantitative in determining mRNA expression in a cell
2.

Which of the following is untrue regarding TIGR Gene Indices?

A. It is an EST database that the similar type of clustering method from UniGene
B. It is an EST database that uses a different clustering method from UniGene
C. It compiles data from dbEST, GenBank mRNA and genomic DNA data, and TIGR’s own sequence databased Sequences are only clustered if they are more than 95% identical for over a fortynucleotide region in pairwise comparisons
D. None of the mentioned
Answer» B. It is an EST database that uses a different clustering method from UniGene
3.

WHICH_OF_THE_FOLLOWING_IS_UNTRUE_REGARDING_TIGR_GENE_INDICES??$

A. It is an EST database that the similar type of clustering method from UniGene
B. It is an EST database that uses a different clustering method from UniGene
C. It compiles data from dbEST, GenBank mRNA and genomic DNA data, and TIGR’s own sequence databased) Sequences are only clustered if they are more than 95% identical for over a fortynucleotide region in pairwise comparisons
Answer» B. It is an EST database that uses a different clustering method from UniGene
4.

Which_of_the_following_is_untrue_regarding_SAGE?$

A. It stands for Serial analysis of gene expression
B. It is another high throughput, sequence-based approach for global gene expression profile analysis
C. It stands for Squared analysis of gene expression
D. Unlike EST sampling, SAGE is more quantitative in determining mRNA expression in a cell
Answer» D. Unlike EST sampling, SAGE is more quantitative in determining mRNA expression in a cell
5.

Which of the following is untrue regarding UniGene?

A. It is an NCBI EST cluster database.
B. Overlapping EST sequences are computationally processed to represent a single expressed gene.
C. Each cluster is a set of overlapping EST sequences
D. The overlapping EST sequences are computationally processed to represent a set of expressed genes
Answer» E.
6.

Which of the following is untrue regarding EST Index Construction?

A. The goal of the EST databases is to organize and consolidate the largely redundant EST data
B. The process includes a preprocessing step that removes masks repeats
C. There is no screening of vector contaminants
D. The goal of the EST databases is to improve the quality of the sequence information so the data can be used to extract full-length cDNAs
Answer» D. The goal of the EST databases is to improve the quality of the sequence information so the data can be used to extract full-length cDNAs
7.

GenBank has a special EST database, dbEST that contains EST collections for a large number of organisms.

A. True
B. False
Answer» B. False
8.

It has been estimated that up to 11% of cDNA clones may be chimeric.

A. True
B. False
Answer» B. False
9.

Which of the following is untrue regarding the drawbacks of expressed sequence tags (ESTs)?

A. They are often of lowquality because they are automatically generated without verification
B. Many bases are ambiguously determined, represented by N’s
C. Frame shift errors and artifactual stop codons are some common errors
D. Despite of all the failures, the translation the sequences is smooth
Answer» E.
10.

To generate EST data, clones in the cDNA library are randomly selected for sequencing from either end of the inserts.

A. True
B. False
Answer» B. False
11.

Which of the following is untrue regarding expressed sequence tags (ESTs)?

A. One of the high throughput approaches to genome-wide profiling of gene expression is sequencing ESTs
B. They are short sequences obtained from cDNA clones
C. They serve as short identifiers of full-length genes
D. They are typically in the range of 800 to 900 nucleotides in length
Answer» E.