Questions and answers for exam Preparation

MCQs

Total Questions : 120 | Page 9 of 12 pages

Question 81. GenBank has a special EST database, dbEST that contains EST collections for a large number of organisms.

True
False
May be True or False
Can't say

Discuss Question

Answer: Option A. -> True
Answer: (a).True

Question 82. Which of the following is untrue regarding EST Index Construction?

The goal of the EST databases is to organize and consolidate the largely redundant EST data
The process includes a preprocessing step that removes masks repeats
There is no screening of vector contaminants
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

Discuss Question

Answer: Option C. -> There is no screening of vector contaminants
Answer: (c).There is no screening of vector contaminants

Question 83. Which of the following is untrue regarding UniGene?

It is an NCBI EST cluster database
Overlapping EST sequences are computationally processed to represent a single expressed gene
Each cluster is a set of overlapping EST sequences
The overlapping EST sequences are computationally processed to represent a set of expressed genes

Discuss Question

Answer: Option D. -> The overlapping EST sequences are computationally processed to represent a set of expressed genes
Answer: (d).The overlapping EST sequences are computationally processed to represent a set of expressed genes

Question 84. Which of the following is untrue regarding SAGE?

It stands for Serial analysis of gene expression
It is another high throughput, sequence-based approach for global gene expression profile analysis
It stands for Squared analysis of gene expression
Unlike EST sampling, SAGE is more quantitative in determining mRNA expression in a cell

Discuss Question

Answer: Option C. -> It stands for Squared analysis of gene expression
Answer: (c).It stands for Squared analysis of gene expression

Question 85. Which of the following is untrue regarding TIGR Gene Indices?

It is an EST database that the similar type of clustering method from UniGene
It is an EST database that uses a different clustering method from UniGene
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
None of the mentioned

Discuss Question

Answer: Option A. -> It is an EST database that the similar type of clustering method from UniGene
Answer: (a).It is an EST database that the similar type of clustering method from UniGene

Question 86. A supervised analysis refers to classification of data into a set of predefined categories. For example, depending on the purpose of the experiment, the data can be classified into predefined ‘diseased’ or ‘normal’ categories.

True
False
May be True or False
Can't say

Discuss Question

Answer: Option A. -> True
Answer: (a).True

Question 87. Which of the following is incorrect about Hierarchical Clustering?

The tree-branching pattern illustrates a higher degree of relationship between related gene groups
It is not similar to the distance phylogenetic tree-building method
It produces a treelike structure that represents a hierarchy or relative relatedness of data groups
In the tree leaves, similar gene expression profiles are placed more closely together than dissimilar gene expression profiles

Discuss Question

Answer: Option B. -> It is not similar to the distance phylogenetic tree-building method
Answer: (b).It is not similar to the distance phylogenetic tree-building method

Question 88. Which of the following is incorrect about Self-Organizing Maps?

Clustering by SOMs is in principle similar to the k-means method
It doesn’t involve neural networks
The data points are initially assigned to the nodes at random
It starts by defining a number of nodes

Discuss Question

Answer: Option B. -> It doesn’t involve neural networks
Answer: (b).It doesn’t involve neural networks

Question 89. Which of the following is incorrect about k-Means Clustering?

k-means clustering produces a dendrogram
It classifies data through a single step partition
It is a divisive approach
In this method, data are partitioned into k-clusters, which are prespecified at the outset

Discuss Question

Answer: Option A. -> k-means clustering produces a dendrogram
Answer: (a).k-means clustering produces a dendrogram

Question 90. TIGR TM4 is a suite of multiplatform programs for analyzing microarray data.