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Biomedical Computing and Biological Informatics

Computer Science

Technical intersections between computer science, bioinformatics, and human physiological modeling.

bioinformatics computational-biology health-tech

12 Questions Hard Ages 5+ Sep 20, 2026

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About this Study Set

This study set covers Computer Science through 12 practice questions. Technical intersections between computer science, bioinformatics, and human physiological modeling. Every question includes the correct answer so you can learn as you go — pick any format above to get started.

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1 Which protein structure prediction tool, developed by DeepMind, utilizes an attention-based neural network architecture to solve the 'protein folding problem'?

A AlphaFold2
B Rosetta@home
C Folding@home
D PyMOL

2 In bioinformatics, what is the primary computational challenge associated with the Smith-Waterman algorithm when comparing two human genome sequences?

A Memory bottlenecking
B Quadratic time complexity
C Lack of parallelism
D Floating-point overflow

3 Which specific data format is the international standard for representing high-throughput DNA sequencing data, containing both nucleotide sequences and quality scores?

A FASTA
B FASTQ
C SAM
D BAM

4 What is the term for the computational process of aligning short DNA sequence reads to a reference human genome, typically utilizing the Burrows-Wheeler Transform?

A Read mapping
B Sequence stitching
C De novo assembly
D Base calling

5 In fMRI data processing, what is the primary function of the 'General Linear Model' (GLM) in statistical parametric mapping?

A Isolating vascular noise
B Estimating neural response amplitudes
C Data compression
D Image segmentation

6 Which specific heuristic algorithm is used by the BLAST (Basic Local Alignment Search Tool) software to find high-scoring segment pairs between protein or DNA sequences?

A K-mer word matching
B Dynamic programming
C Hidden Markov Models
D Support Vector Machines

7 What is the primary objective of the 'DICOM' standard in medical informatics?

A Standardizing genomic data
B Transmitting and storing medical imaging data
C Standardizing electronic health records
D Protocol for remote surgery

8 In computational neuroscience, what do the Hodgkin-Huxley equations mathematically model?

A Synaptic plasticity
B Action potential initiation and propagation
C Neurotransmitter diffusion
D Blood-brain barrier permeability

9 Which algorithm is commonly employed to perform 'dimensionality reduction' on single-cell RNA sequencing data to visualize clusters of distinct human cell types?

A t-SNE (t-Distributed Stochastic Neighbor Embedding)
B Linear Regression
C Decision Trees
D K-Nearest Neighbors

10 Within the context of pharmacogenomics, what are 'SNPs' (Single Nucleotide Polymorphisms) most frequently mapped against in association studies?

A Human phenotypic traits
B Protein secondary structures
C Neural network weights
D Metabolic pathway latency

11 What is the computational purpose of a 'Hidden Markov Model' (HMM) when applied to identifying gene regions in human DNA sequences?

A Assigning probabilities to hidden states representing biological features
B Accelerating decryption of genomic data
C Encoding visual data from retinal implants
D Predicting post-operative recovery time

12 In modern glucose monitoring systems, what type of control loop architecture is typically used to manage insulin delivery in 'artificial pancreas' algorithms?

A Proportional-Integral-Derivative (PID) control
B Unsupervised deep reinforcement learning
C K-means clustering
D Static rule-based Boolean logic

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