
Quiz - Cần Thơ

Quiz
•
Biology
•
University
•
Hard
Thao Duong
Used 4+ times
FREE Resource
12 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many cells in a human body?
Around 37.2 Millions
Around 37.2 Billions
Around 37.2 Trillions
Around 37.2 Quadrillion
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A scientist has wanted to do a single cell experiment. The processing steps include 3 steps with the capture rate for each step as 90%. If he wants to have 10,000 cells in the final data. How many cells does he need as the input?
13,717 cells
12,345 cells
11,111 cells
90,000 cells
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is single-cell RNA-sequencing?
A method to understand the gene mutation at the single cell level.
A method to understand the gene expression at the single cell level.
A method to understand the gene modification at the single cell level.
A method to understand the gene perturbation at the single cell level.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is the elephant 100 times larger than human?
Because the elephant’s cell is bigger than the human’s cell.
Because the elephant’s cell is more complex than the human’s cell.
Because the elephant has more cells than the human.
Because an elephant's body requires more energy and resources to function.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main advantage of single-cell RNA sequencing (scRNA-seq) over bulk RNA sequencing?
scRNA-seq provides an average gene expression profile of a population of cells.
scRNA-seq captures gene expression at a single-cell resolution, revealing cellular heterogeneity.
scRNA-seq is faster and requires fewer steps than bulk RNA sequencing.
scRNA-seq does not require bioinformatics analysis.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a key step in single-cell RNA-seq?
Cell isolation and dissociation
Reverse transcription of RNA into cDNA
Sequencing and computational analysis
Direct measurement of protein expression
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What challenge does scRNA-seq face compared to bulk RNA-seq?
It requires fewer computational resources.
It does not require single-cell isolation.
The data is more sparse and prone to technical noise.
(Dropout events are a common issue in scRNA-seq due to technical limitations.)
It cannot identify different cell types.
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