Version 2 of the remotely controlled clattering teeth. This was another attempt at understanding how animatronics work, it was pretty fun. The eyes could sorta move in X and Y direction, and the teeth still went up and down making a better attempt than V1, albeit still very basic (especially considering it was build with pop-sickle sticks haha)
Little electronics project where i try to control a pair of cheap wind-up-teeth to move at the push of a button using a servo and ESP32.
One of the goals of my PhD was to construct some sort of database with all the results we generated. Unfortunately due to all sorts of logistical and bureaucratic reasons, plus a lack of interest of anyone to actually help i just settled to create a now forgotten Tableau public infographic. It’s a semi-interactive overview …
Instead of buying a $3000 aspirator, we build our own for $20. ‘This one easy trick that big pharma doesn’t want you to know about’
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!
