“Gene track” refers to the ‘GENCODE V48’ track, that should be located at the top of your screen. This is the track influenced by your GENCODE V48 selection down at the “genes and gene predictions” settings.

A lot of students get very overwhelmed with the tracks and don't know what to do

Some don't really understand what they're looking at

This paragraph can be confusing for some students. Here is a revision that potentially is easier to follow:

When studying a disease-associated SNP found in a GWAS, researchers look at the surrounding genomic region to identify possible disease related genes. This involves examining nearby genes and regulatory elements to see if they could play a role in the disease or trait. A typical GWAS only tests a subset of all SNPs in the genome, so the SNP that shows the strongest association is usually not the actual cause. Instead, it lies very close to the true causal variant. Because SNPs that are near each other on the genome tend to be inherited together, the associated SNP acts as a marker for the real causal variant.

This function already exists in the downloaded translationproject.py (with the exception that it returns 'kasper' instead of '?', when the string argument is not a valid codon)

Et par af de mere visuelle studerende savner eksempel kaldning til denne funktion

Her oplevede jeg, at de studerende ikke forstod opgaven. Måske dette ville være mere klart:

Create a new function called conversion, which takes three arguments, corresponding to x, slope and intercept.

Now you have a function that can do any linear conversion! You can use it in your celsius2fahrenheit function, like this: