Being a student again takes a longer while than I expected to get used to, which gives me a long hiatus in my posting, but also puts me in a different and stimulating environment.
Openly shared data is invaluable. It provides a way for others to test reproducibility of analysis and reduces the need of repeated screening experiments. Besides, these data is also an excellent training ground for amateurs like me.
What you are going to find here A minimal introduction of the awk command in Linux and Mac (For Mac user, installing GNU awk might be necessary. It introduced some new functions like sorting an array with asort().
Recently, I analyzed a few single cell RNA-seq datasets and experimented with several new tools from recent publication. While it was fun, most datasets were just too large for my poor laptop to process, and I relied a lot on our server.
After a while of playing around, I’ll say the best way to use R with a Notebook-style interface on a server where you are no superuser would be using Anaconda, and then run R inside Anaconda to get whatever package you need.