Remove unnecessary # Introduction section

[hexylena]

Everything above the agenda is already equivalent to an abstract for most tutorials. However many still included a "# Introduction" title that doesn't really bring any utility. So we remove all of those.

This will make it additionally make it easier for us to automatically extract a nice 'abstract' for each tutorial (using the first paragraph.)

In some places I've moved a paragraph up because a comment box was first which also wasn't such a nice UX.

Linting errors are .. very expected.

[github-actions]

🚫 [rdjsonl] <GTN:005> _{reported by reviewdog 🐶}
Please do not use 'here' as your link title, it is bad for accessibility. Instead try restructuring your sentence to have useful descriptive text in the link.

Suggested change

Prokka finds and annotates features (both protein coding regions and RNA genes, i.e. tRNA, rRNA) present on on a sequence. Note, Prokka uses a two-step process for the annotation of protein coding regions: first, protein coding regions on the genome are identified using [Prodigal](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848648/); second, the *function* of the encoded protein is predicted by similarity to proteins in one of many protein or protein domain databases. Prokka is a software tool that can be used to annotate bacterial, archaeal and viral genomes quickly, generating standard output files in GenBank, EMBL and gff formats. More information about Prokka can be found [here](https://github.com/tseemann/prokka).

Prokka finds and annotates features (both protein coding regions and RNA genes, i.e. tRNA, rRNA) present on on a sequence. Note, Prokka uses a two-step process for the annotation of protein coding regions: first, protein coding regions on the genome are identified using [Prodigal](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848648/); second, the *function* of the encoded protein is predicted by similarity to proteins in one of many protein or protein domain databases. Prokka is a software tool that can be used to annotate bacterial, archaeal and viral genomes quickly, generating standard output files in GenBank, EMBL and gff formats. More information about Prokka can be found [Something better here](https://github.com/tseemann/prokka).

[github-actions]

🚫 [rdjsonl] <GTN:028> _{reported by reviewdog 🐶}
You have skipped a heading level, please correct this.

Listing of Heading Levels

### Easy access to tools, workflows and data from the docker image
## Peptide Data
## Converting tabular data into fasta format
## Analyzing peptide libraries (AMPs and TMPs) based on features and feature space
### Summary Plot for peptide libraries
### Assessing feature space distribution
## Assessing the relation between peptide features by 3D scatter plot
### Calculating Sequence Property-Based Descriptors
### Adding the Class Label in both AMPs and TMPs
### Merging the two tabular data files
### Plotting CTD descriptor data as Scatter plot
# Conclusion

```suggestion ## Easy access to tools, workflows and data from the docker image ```