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Biotechnology and Biomedical Engineering
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Bioinformatics and Data Science in Biotechnology
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Differential Expression Analyses of RNA-seq
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Differential Expression Analyses of RNA-seq
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Theory
Procedure
PreTest
Reference
Feedback
1)
Differential expression analysis indicates
Reading genetic information of original genes
Measure quantitative changes in expression levels between experimental groups
Understanding translation approach
Al the above
2)
Applications of RNA-seq
Gene expression profiling between samples
Study of alternative splicing events
Identification of allele-specific expression and single nucleotide polymorphisms (SNPs)
All the above
3)
Poly(A) tails can be identified
multiple As or Ts at the end of some reads
multiple Gs or Cs at the end of some reads
multiple Cs or Ts at the end of some reads
GT–AG dinucleotides that flank splice sites
4)
For Differential expression analysis, one can use
sampleDistMatrix
samplePoisDistMatrix
DESeqDataSet
None of the above
Cite this Simulator:
vlab.amrita.edu,. (2021). Differential Expression Analyses of RNA-seq. Retrieved 23 March 2025, from vlab.amrita.edu/?sub=3&brch=311&sim=1859&cnt=3809
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