Home / Study library / Big Data and Biological Networks / Quiz 1 · Jan 2025 Big Data and Biological Networks · Quiz 1 · Jan 2025
Big Data and Biological Networks · Quiz 1 · Jan 2025
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Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q31 Q32 Q33 Q34
Question 8 MCQ · 1.0 marks The bond between a phosphate group and the ribose sugar group in RNA is called which of the
following?
6406533770872. Peptide bond
6406533770873. Glycosidic bond
6406533770874. Phosphodiester bond
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Question 9 MCQ · 1.0 marks Translation is the process by which:
6406533770876. DNA gets converted to chromosomes
6406533770877. RNA gets converted to protein
6406533770878. Protein folding occurs to produce functional enzymes
6406533770879. Cells produce ATP
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Question 10 MCQ · 1.0 marks Which of the following is not true :
6406533770880. Genomics data is independent of the cell type
6406533770881. Transcriptomics data is dependent on a specific cell type
6406533770882. Both genomics data is independent of the cell type and transcriptomics data is
dependent on a specific cell type are true
6406533770883. None of these statements are true
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Question 11 MCQ · 1.0 marks What is the primary advantage of Next-Generation Sequencing (NGS) over traditional Sanger
sequencing?
6406533770884. Longer read lengths.
6406533770885. Higher accuracy.
6406533770886. Higher throughput.
6406533770887. Lower cost per base.
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Question 12 MCQ · 1.0 marks What do the term Okazaki fragments refer to?
6406533770888. Short fragments of DNA created before transcription
6406533770889. Byproducts of histone modifications
6406533770890. Short fragments of DNA created during replication on the 5’ to 3’ template
strand
6406533770891. Short fragments of DNA created during replication on the 3’ to 5’ template
strand
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Question 13 MCQ · 1.0 marks Which of the following proteins is required for transcription:
6406533770892. DNA polymerase
6406533770893. Sigma factor
6406533770895. Ribonuclease
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Question 14 MSQ · 2.0 marks Which of the following experiments fall under the purview of epigenomics?
6406533770896. DNA methylation
6406533770897. Chromatin accessibility
6406533770898. Genome wide association studies
6406533770899. Differential expression analysis
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Question 15 MSQ · 2.0 marks 6406533770900. A - 2, B - 1, C - 4, D - 3
6406533770901. A - 4, B - 2, C - 1, D - 3
6406533770902. A - 3, B - 2, C - 1, D - 3
6406533770903. A - 3, B - 2, C - 1, D - 4
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Question 16 MSQ · 2.0 marks Consider the following and select the correct option.
**Assertion**: Genomics can be used to identify individuals predisposed to certain diseases.
**Reason**: By analyzing an individual's DNA, specific genetic variations associated with increased
disease risk can be detected.
6406533770904. Both the assertion and reason are correct, and the reason is a correct
explanation of the assertion.
6406533770905. Both the assertion and reason are correct, but the reason is not a correct
explanation of the assertion.
6406533770906. The assertion is correct, but the reason is incorrect.
6406533770907. The assertion is incorrect, but the reason is correct.
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Question 17 MSQ · 2.0 marks Which of the following statements are true:
6406533770908. Transcription uses two strands of DNA
6406533770909. Polyadenylation does not happen in prokaryotic cells
6406533770910. Intronic genes are only present in eukaryotic cells
6406533770911. Proteins are produced in the nuclei
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Question 18 MSQ · 2.0 marks Application of genomics include:
6406533770912. Identifying individuals based on DNA evidence
6406533770913. Tracking the spread of infectious diseases
6406533770914. Predictive testing for genetic diseases
6406533770915. Identifying genetic diversity within species
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Question 19 NAT · 1.0 marks
Based on the above data, answer the given subquestions.
What is the id number of the most significant SNP?
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Question 20 NAT · 1.0 marks
Based on the above data, answer the given subquestions.
From the plot, what would be the number of SNPs considered for this analysis? (Give 5% range
above and below)
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Question 21 NAT · 1.0 marks
Based on the above data, answer the given subquestions.
How many causal SNPs are present in the figure?
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Question 22 SHORT_TEXT · 3.0 marks
**NOTE:** Enter the exact answer without any extra space in the beginning or at the end.
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Question 23 SHORT_TEXT · 3.0 marks
**NOTE:** Enter the exact answer without any extra space in the beginning or at the end.
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Question 24 MCQ · 2.0 marks
What is the clustering coefficient of the given graph?
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Question 25 MCQ · 2.0 marks
What is the mean degree of this undirected graph?
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Question 26 MCQ · 2.0 marks 6406533770929. AttributeError: 'Graph' object has no attribute 'add_edge'
6406533770930. TypeError: 'DiGraph' object is not subscriptable
6406533770931. NetworkXError: Graph is immutable
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Question 27 MCQ · 2.0 marks 6406533770933. 6406533770934. 6406533770935. 6406533770936. A published solution is not available for this question yet.
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Question 28 MSQ · 3.0 marks Which of the following statements about bipartite graphs is TRUE?
6406533770937. In a bipartite graph, there are two disjoint sets of vertices such that no two
vertices within the same set are adjacent.
6406533770938. Every complete bipartite graph has an Eulerian circuit.
6406533770939. A bipartite graph can be colored with two colors such that no two adjacent
nodes have the same color.
6406533770940. In the adjacency matrix of a bipartite graph, the values corresponding to
edges within the same set of nodes will not all be zero.
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Question 29 MSQ · 3.0 marks Which of the following statements are true about the behavior of random and small-world
networks?
6406533770941. In a small-world network, as the rewiring probability p increases, the average
path length decreases dramatically.
6406533770942. Random networks tend to have high clustering coefficients compared to small-
world networks for small p.
6406533770943. In a small-world network, increasing the rewiring probability p makes the
network more disconnected and increases the clustering coefficient.
6406533770944. Small-world networks have a balance of high clustering and short average
path length for intermediate values of rewiring probability p.
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Question 30 MSQ · 3.0 marks Which of the following network models are suitable for representing the topology of metabolic
pathways in biological systems?
6406533770945. **Small-world network** because it ensures high clustering, which represents
functional metabolic clusters and pathways, while also having short path lengths for efficient
chemical signaling.
6406533770946. **Random network** because it randomly connects metabolites and enzymes,
ensuring diverse and unpredictable interactions in the network.
6406533770947. **Power-law network** because it produces a few highly connected nodes (hub
enzymes) that play crucial roles in regulating key metabolic pathways.
6406533770948. **Random network** because it results in efficient information transfer through
a uniform distribution of connections between metabolites and enzymes.
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Question 31 MCQ · 2.0 marks Calculate the betweenness centrality of node D in the network.
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Question 32 MCQ · 2.0 marks In the network shown, calculate the degree centrality of node E.
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Question 33 MCQ · 2.0 marks What is the density of this network?
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Question 34 MCQ · 2.0 marks Calculate the closeness centrality of node E.
6406533770964. 0.500
**Deep Learning**
**Section Id :** 64065379067
**Section Number :** 4
**Section type :** Online
**Mandatory or Optional :** Mandatory
**Number of Questions :** 10
**Number of Questions to be attempted :** 10
**Section Marks :** 40
**Display Number Panel :** Yes
**Section Negative Marks :** 0
**Group All Questions :** No
**Enable Mark as Answered Mark for Review and**
No
**Clear Response :**
**Section Maximum Duration :** 0
**Section Minimum Duration :** 0
**Section Time In :** Minutes
**Maximum Instruction Time :** 0
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