Bioinformatics is an interdisciplinary field, and the toolkit or technology stack used in bioinformatics is also quite “interdisciplinary”. The level of fragmentation is, in my opinion, absolutely not less than that of Linux distributions… This also brings us a common challenge: the deployment of bioinformatics analysis environments.

Today, I needed to deploy an RStudio server for someone else. Here are the steps and key points of the deployment.

A long time ago, I was interested in a special operating system made in China called FydeOS. It is based on ChromiumOS and is a Chinese version of ChromeOS. The main idea behind this operating system is that many people do not need high-performance terminal computers for work; they just need an entry-level device that can access essential work services through a browser.

I’ve been extremely busy lately, with too much work to finish… so I haven’t had much motivation to write. However, this time I’ve applied what I’ve learned in the past six months to build my first web app with database operations, which is worth commemorating. Although I’m short on time, I’ll start with the text and add images later.

“I know a lot about structural variation information,” but the content of this blog post is too much, and it’s not convenient for me to look back. So I decided to split it into smaller parts and write a comprehensive one using GitBook later.

Because of my work, I had to learn some basic concepts and methods for single-cell research. I wrote this note to record it.