Lesson 2 Flashcards
What is the benefit of Oxford nanopore pacific biosciences when it comes to NGS?
They can produce long sequences→allows the entire sequence to be seen without worrying where the exons are and can allow for telomeric sequencing
What are the disadvantages of pacific biosciences and Oxford nanopore?
Error rate is high, they have a lower throughput and they require high-quality RNA
What specifically do illumina and microarrays focus on?
The poly-a structure of RNAs → huge enrichment of 3’ sequencing and less at the 5’ end
In which scenario is having a single-handed sequence better?
When looking for differential expression
What are the 2 types of replicates?
Biological and technical
Describe biological replicates:
Parallel measurements of biologically distinct samples
Describe technical replicates:
Repeated measurements of the same sample
What are necessary to implement in order to avoid introducing bias?
Standard operational procedures
What is a bias?
A systematic difference introduced to a study that alters the course of the results
Describe the procedure for the creation of an array:
Used from a single batch and processed by one technician on the same day
If large experiments are performed, how should the experimental procedures be arranged?
Orthogonalize every variable: analyze equal numbers of samples from 2 groups under assessment on each day of analysis
What is normalization?
The removal of background and non-biological variation as much as possible
What are the 2 key assumptions that normalization methods rely on?
1) the expression levels of most genes remain the same across replicate groups
2) different sample groups do not exhibit a meaningful difference in overall mRNA levels
What is a spike-in?
Designed to bind to DNA molecules with a matching sequence known as a control probe→ a known quantity of RNA spike-ins is mixed with the sample and the degree of hybridization between the spike-ins and the central probes is used to normalize the hybridization measurements of the sample RNA
Why is filtering performed when doing rna-seq experiments?
Reduces the impact of multiple testing ( multiple little t-tests introduces many false positives)