Can anyone help me to explain in a simple way to a friend (who is not in bioinformatics field) what differentially expressed (DE) gene level is?
I thought that DE means when you are comparing gene expression in two different groups/samples. But here (https://www.ncbi.nlm.nih.gov/books/NBK10061/) it said, that e.g. cells differentiate through differential gene expression.
Hi Devon, just curious to know, in DEG, what do you mean by between groups?
If I have a time-course experiment (3-time points) with several genotypes (WT vs 3 different mutants); and my pairwise comparison is mut vs WT at its time point (e.g. 'mut1_0h-WT_0h', mut2_0h-WT_0h', etc),
What does mean by the group?
A "group" is a biologically meaningful collection of samples. So it could be mutant and wild type, possibly at a single time point. It could be two different time points. It's a generic term in English that has absolutely no special meaning in bioinformatics.
In simple terms, Differential gene expression in change in expression level between groups. For example, the differential gene expression can be determined between mutated and unmutated, at different time intervals, normal and tumor samples , and so on.
See these posts:
Differential gene expression
Differentially gene expressed analyses of two different samples
A: Differential Expression Analysis Theory/Tutorial For The Statistics Layman
In Deep Sequencing Experiments: What Is Differential Expression?
And also this article:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227109/
and this presentation:
http://www.cs.cmu.edu/~epxing/Class/10810-06/diffExp.pdf
Below is some tool description:
...the DESeq package
https://www.bioconductor.org/packages/devel/bioc/vignettes/DESeq/inst/doc/DESeq.pdf