Github repository for R scripts
https://github.com/IamIamI/
https://github.com/IamIamI/
Additionally to analyzing quality of samples, you can also use coverage to predict copy number of extrachromosomal elements. If chromosomal templates and extrachromosomal templates are in a 1:1 relationship, you expect equal distribution of coverage.
Ever wondered how to assess the quality of your NGS data? But get confused about all the fancy tools? Well how about i told you you can assess a lot of problems before even looking at the mapping yet, just by extracting some basic coverage data from BAM files, and extracting the number of reads per sample.
Roary is a great bioinformatics tool, but it’s output is lacking some shine. Let’s try to polish it up a bit!
This was a fun one. We had samples from different regions in two countries. Instead of showing a table, i wanted to show a summary per province on a map.
This one was a confusing one. Putting three different datasets, containing values in different ranges, into one plot. Let’s get started!