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Big Data and Biological Networks · End Term · Jan 2025 · AN

Big Data and Biological Networks · End Term · Jan 2025 AN

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0 / 44 published solutions

Question 305 MCQ · 1.0 marks

The bond between two amino acids is called:
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Peptide bond
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Glycosidic bond
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Phosphodiester bond
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Amine bond

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Question 306 MCQ · 1.0 marks

How many codons in the genetic code translate to amino acids?
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16
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38
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61
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26

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Question 307 MCQ · 1.0 marks

Which of the following is a key characteristic of post-translational modifications?
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They alter the DNA sequence itself.
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They are heritable changes in gene expression that do not involve alterations to the DNA sequence.
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For a given gene, they only affect protein structure, not its expression.
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They are limited to changes in mRNA splicing.

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Question 308 MCQ · 1.0 marks

Which of the following best describes the fundamental principle behind a Genome-Wide Association Study (GWAS)?
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Sequencing the entire genome of individuals with and without a specific trait to identify all causal variants
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Comparing the frequency of genetic variants across the entire genome between individuals with a specific trait and a control group to identify variants statistically associated with the trait.
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Studying the inheritance patterns of specific candidate genes within families affected by a particular disease.
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Identifying rare, high-impact mutations that are directly responsible for causing a specific trait or disease.

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Question 309 MCQ · 1.0 marks

Enumerate the total number of strings that can be generated with 20 words?
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Question 310 MCQ · 1.0 marks

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Question 311 MCQ · 1.0 marks

Source diagram or notation
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To learn embeddings for individual nodes
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To map a set of node embeddings to a graph-level embedding
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To optimize the message-passing mechanism between nodes
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To improve the adjacency matrix representation

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Question 312 MSQ · 2.0 marks

Which of the following is false?
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Transcription uses two strands of DNA
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Polyadenylation does not happen in prokaryotic cells
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Proteins are produced in the nuclei
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Intronic genes are only present in eukaryotic cells

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Question 313 MSQ · 2.0 marks

Applications of transcriptomics include:
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Understanding functional impact of mutations
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Identifying genetic drivers of disease
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Studying response of organisms to environmental changes
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Studying the effect of chromatin modifications

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Question 314 MSQ · 2.0 marks

Which of the following mutations could not affect gene expression?
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Mutations in promoters
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Mutations in the coding region
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Mutations in RNA polymerases
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Mutations in ribosomal proteins

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Question 315 MSQ · 2.0 marks

Which of the following distinguish Next-Generation Sequencing from traditional Sanger sequencing?
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Ability to sequence millions of bases simultaneously
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Significantly higher throughput and speed
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Lower cost per base of sequencing
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Reliance on chain-terminating dideoxynucleotides.

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Question 316 MSQ · 2.0 marks

Which of the following biological processes involve the DNA:
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Replication
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Transcription
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Translation
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Epigenetic modification

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Question 317 MSQ · 2.0 marks

The number of stuck/blocked reactions in the microbe ‘A’ when grown alone is 42. The number of stuck reactions is reduced to 18 when ‘A’ is grown together with ‘B’. Also, when ‘A’ is grown together with ‘C’, the number of stuck reactions in ‘A’ is 25 . Which of the following is/are true?
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MSI(A;A U B) = 0.57
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MSI(A;A U B) = 0.59
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MSI(A;A U C) = 0.40
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MSI(A;A U C) = 0.39

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Question 318 MSQ · 2.0 marks

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Question 319 MSQ · 2.0 marks

Scientists are studying genetic interactions in yeast by creating knockout strains. They observe the following results: ● Single deletion of gene A: viable ● Single deletion of gene B: viable ● Single deletion of gene C: viable ● Single deletion of gene D: viable ● Double deletion of genes A and B: lethal ● Double deletion of genes B and C: viable ● Double deletion of genes C and D: lethal ● Double deletion of genes A and D: viable Which of the following statements correctly describe synthetic lethal interactions in this system?
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Genes A and B demonstrate synthetic lethality, suggesting they function in parallel pathways that compensate for each other.
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Genes B and C show synthetic lethality, indicating they likely function in the same linear pathway.
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Genes C and D show synthetic lethality, suggesting their functions might compensate for each other.
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Genes A and D do not show synthetic lethality, proving they have no functional relationship whatsoever.

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Question 320 MSQ · 2.0 marks

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Question 321 SHORT_TEXT · 3.0 marks

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**NOTE:** Enter the exact answer without any extra space in the beginning or at the end.

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Question 322 SHORT_TEXT · 3.0 marks

Source diagram or notation
**NOTE:** Enter the exact answer without any extra space in the beginning or at the end.

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Question 323 MCQ · 3.0 marks

In a Watts-Strogatz small-world network model with n nodes, k initial nearest neighbors per node (k ≪ n), and rewiring probability p, what happens to the average path length L(p) as the rewiring probability p increases from 0 to 1?
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L(p) increases linearly with p
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L(p) decreases rapidly at small p and then saturates
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L(p) increases exponentially with p
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L(p) remains constant regardless of p

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Question 324 MCQ · 3.0 marks

Source diagram or notation
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User U1, because it shows moderate increases in degree and betweenness centrality.
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User U2, because it shows substantial increases in both degree and betweenness centrality coupled with decreased clustering, suggesting it has gained connections to diverse community clusters.
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User U3, because its minimal changes across all metrics indicate stability, which is characteristic of core community members.
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User U4, because the decrease in centrality metrics with increased clustering suggests it has become part of a tightly-knit community subgroup.

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Question 325 MCQ · 3.0 marks

What is the average degree (regardless of the direction) of the 4-mer overlap graph constructed from “CAGATGTAT”?
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2.22
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2.45
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3.12
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1.74

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Question 326 MCQ · 3.0 marks

What is the best global alignment score for the sequences "GTACTG" and "TAGTCTG" with the scoring scheme: **matches** = +2, **mismatches** = -1 and a constant gap penalty of -10.
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-3
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4
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-12
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6

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Question 327 MCQ · 3.0 marks

Elucidate the final sequence that is obtained from the kmers: TATT, TGAT, GATC, ATGT, GTAT, CATG, ATCA, TCAT, TGTA.
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ATCTGTACAACTC
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ATCGGTACAACTC
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ATCGGGACAACTC
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ATCGGTATAACTC

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Question 328 MCQ · 3.0 marks

Consider the following statements: **Assertion (A):** Dynamic Programming based approach is required to solve the sequence alignment problem. **Reason (R):** DNA sequences are very long containing thousands of bases. Which of the following options is true:
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Both A and R are true and R is the correct explanation for A
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Both A and R are true and R is not the correct explanation for A
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A is true but R is false
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Both the statements are false

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Question 329 MCQ · 3.0 marks

Source diagram or notation
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All pairs are correct
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Only the first three pairs are correct
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Only the last two pairs are correct
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None of the pairs are correct

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Question 330 MCQ · 3.0 marks

Source diagram or notation
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(1), (A), (i); (2), (B), (ii); (3), (A), (ii); (4), (B), (ii);
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(1), (B), (i); (2), (B), (i); (3), (A), (ii); (4), (A), (ii);
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(1), (A), (ii); (2), (A), (i); (3), (B), (i); (4), (A), (i);
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(1), (B), (i); (2), (A), (ii); (3), (A), (ii); (4), (B), (i);

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Question 331 MCQ · 3.0 marks

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Question 332 MCQ · 3.0 marks

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Question 333 MCQ · 3.0 marks

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Question 334 MCQ · 3.0 marks

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Question 335 NAT · 2.0 marks

A research team studying neural connectivity in the prefrontal cortex has mapped interactions between key neurons involved in decision-making processes. They modeled the network using a modified Watts-Strogatz approach with N=4 nodes (neurons) and the following adjacency matrix:
Source diagram or notation
Based on the above data, answer the given subquestions.
When a decision task is initiated, neuron 3 shows elevated firing rates, which researchers believe coordinates the decision-making process. After analyzing the network topology, the degree centrality of protein 3 is ______________

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Question 336 NAT · 1.0 marks

A research team studying neural connectivity in the prefrontal cortex has mapped interactions between key neurons involved in decision-making processes. They modeled the network using a modified Watts-Strogatz approach with N=4 nodes (neurons) and the following adjacency matrix:
Source diagram or notation
Based on the above data, answer the given subquestions.
The clustering coefficient of protein 3 in this network is ____________

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Question 337 NAT · 1.0 marks

A research team studying neural connectivity in the prefrontal cortex has mapped interactions between key neurons involved in decision-making processes. They modeled the network using a modified Watts-Strogatz approach with N=4 nodes (neurons) and the following adjacency matrix:
Source diagram or notation
Based on the above data, answer the given subquestions.
The betweenness centrality of protein 3 is _____________

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Question 338 NAT · 2.0 marks

In a social network analysis study, researchers are examining friendship connections between users on a new platform. Initially, they observe that each user is connected to exactly k = 49 nearby users in a neighborhood-based pattern, forming a structured network with n = 100 users. However, engagement data suggest that friend recommendations introduce a small-world topology, where some connections span across distant user groups, leading to a mix of local clustering and long-range connections. To better understand this connection pattern, the researchers hypothesize that the network might instead resemble a random graph of the form G(n,p), where p is the probability of a friendship forming between any two users. Estimate the probability p that would yield the same total number of connections as in the original structured network. Report 1000p

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Question 339 MSQ · 3.0 marks

Which of the following concepts are fundamental to understanding and performing sequence alignment?
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Gap penalties
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Scoring matrices
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Dynamic Programming
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Random Number Generation

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Question 340 MSQ · 3.0 marks

Which of the following is true about genome assembly?
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It can be done only for prokaryotic genomes
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Assembly comparing fragments obtained with one another
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Assembling the genome using a De-Bruijn graph is easier than using an overlap graph
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Success of assembly depends on how accurately we can sequence the fragments of DNA

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Question 341 MSQ · 3.0 marks

Which of the following statements about GraphSAGE are true?
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GraphSAGE is an inductive learning method.
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GraphSAGE is a edge-level representation learning algorithm, while GAT is an node-level representation learning algorithm
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GraphSAGE can generate embeddings for previously unseen nodes.
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GraphSAGE uses a fixed-size neighborhood for aggregation

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Question 342 MSQ · 3.0 marks

Task-specific labels are scarce during the training phase. The pretraining helps to develop a general understanding of related enumerate with abundant unlabelled data. Then, fine-tuning can be performed for a downstream task of interest. For the molecular property prediction task, which of the following are valid pretraining strategies.
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Reconstructing the adjacency matrix for each graph using an encoder-decoder approach
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Mask nodes and predict the features of masked nodes during training
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Predict the embedding similarity between different graphs
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Use subgraphs to predict surrounding graph structures

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Question 343 MSQ · 3.0 marks

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Question 344 MSQ · 3.0 marks

What are the limitations of shallow embeddings?
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Shallow embedding approaches do not leverage node features in the encoder
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Shallow embedding methods share parameters between nodes in the encoder
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Shallow embedding methods can only generate embeddings for nodes that were present during the training phase
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Shallow embedding methods directly optimizes a unique embedding vector for each node

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Question 345 MSQ · 3.0 marks

Which of the following are true for graph filters:
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Cheby-Filter is a spatial-based graph filter
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Spectral-based graph filters utilize spectral graph theory to design the filtering operation in the spectral domain
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Spatial-based graph filters explicitly leverage the graph structure
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GAT-Filter is a spatial-based graph filter

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Question 346 MCQ · 2.0 marks

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Question 347 MCQ · 2.0 marks

What is the primary challenge in applying classical deep neural networks to graph structured data?
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The data is too large.
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The graph structure is not a regular grid.
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The data lacks features.
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The models are too complex.

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Question 348 MCQ · 2.0 marks

What is the primary purpose of introducing a normalization step in a neural network
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Enhances model regularization
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Ensures differentiability of the function
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Reduces variance in the distribution across mini-batches
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All of these

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