Summarize the basic steps in Differential Expression analysis starting with a directory of un-trimmed RNA-Seq reads and a genome. I’m looking for general descriptions of the steps, not code. Thank you!

Genetic engineering and gene therapy are two issues in genomics that are quite similar. What similarities and differences do they share?

this is what i have said about this image so far, what else can be said aswell including the raw count column. "   Interpreting the results of an RNA-Seq analysis is pivotal in understanding the underlying genetic mechanisms of diseases such as breast cancer. In this analysis, Figure 1 provides comprehensive data on differentially expressed genes associated with breast cancer. By delving into the provided information, we can gain valuable insights into the molecular landscape of this disease. First focus is on the gene with the highest fold change, EYA4, situated on chromosome 6. With a staggering fold change of 3604.4176, EYA4 exhibits an unprecedented level of overexpression in cancerous cells compared to normal cells. This profound alteration suggests a pivotal role for EYA4 in breast cancer pathogenesis. The log2 fold change of 11.81555 further emphasizes the magnitude of this difference in gene expression. Statistical significance is evident, with an exceptionally low p-value of…

Lay out the steps in transcriptome analysis RNA-Seq and microarrays that lets you identify disease-causing genes. Like for example, Down syndrome.

Explain Gene Expression Microarrays and RNA-seq in Transcriptome Analysis as detailed and thoroughly as you can.

What is a microarray? How can it be used to obtain information about gene function?

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Include references! How can we analyze the interest protein expression in cultured cells after we transfect with the following vectors including gene of interest: Green fluorescent protein (GFP) including vectors His-tag including vectors

Why do we need the KANR  gene next to the SPA tag sequence?  Briefly explain how and why it is going to be used in sORF function gene finding.

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