It is necessary to computationally manipulate transcriptome data because: Execut
ID: 253880 • Letter: I
Question
It is necessary to computationally manipulate transcriptome data because:
Execution of multiple DNA microarrays experiments with multiple genes produce experimental readouts with common standard deviations and uniform ranges of extreme values
The signal intensity is uniform regardless of the amount of isolated RNA used in the experiment
Gene expression values are not normally distributed
The statistical methods used to assess significance make no assumptions regarding how the DNA microarray data varies within and between samples
A.Execution of multiple DNA microarrays experiments with multiple genes produce experimental readouts with common standard deviations and uniform ranges of extreme values
B.The signal intensity is uniform regardless of the amount of isolated RNA used in the experiment
C.Gene expression values are not normally distributed
D.The statistical methods used to assess significance make no assumptions regarding how the DNA microarray data varies within and between samples
Explanation / Answer
Answer. All options given above seems true.
Transcriptome studies requires a proper statistical analysis after the data is gathered from RNA sequencing, plus the data also requires the alternate and quality trimming.
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