To learn Go language, I rewrote a script that was used frequently in my previous work. Compared to Python, which is simple, quick, easy to understand and has many useful third-party modules with abundant learning materials in both Chinese and English, if it wasn’t for performance reasons, I really wouldn’t want to switch…

Previously, I set up a Gogs server but didn’t configure HTTPS; it was directly using HTTP. Last time, I tried and found that intercepting passwords was too easy… So I thought about getting a domain name and setting up HTTPS…

When developing software, whether for presentation or to organize thoughts, using flowcharts is often necessary. Instead of using a drawing board or Word, which can be time-consuming when the diagram becomes complex and needs frequent updates, a tool like Markdown that allows you to focus on content rather than form is very important.

Recently, while helping my senior sister with sequence alignment, I discovered that the software I used to use frequently, MEGA X (10), now has a Linux GUI version. This made me feel that the world is indeed changing.

I recently discovered GNU Parallel, a simple and useful parallel program implemented in Perl, which can easily execute various commands in Bash in parallel. This is particularly useful for tasks that can be divided into independent subtasks.

Lumpy’s author positioned this project more as building a general structural variant signal generation scheme rather than creating an excellent tool. It was implemented as a basic version of the scheme. Compared to other tools, Lumpy spent more time in its article explaining the evidence concepts and methods for obtaining information. Interpreting this tool has made me understand better how to obtain structural variant signals from NGS sequencing data.

“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.

I didn’t expect to do regression again after four years… this time using R instead of SPSS. Previously, I was doing statistical analysis, but now… it’s machine learning.

Yesterday, due to some unparsable symbols in my markdown post, I thought Hexo had crashed, so I took the opportunity to switch to a new theme…and reviewed the setup process again.

After using snakemake for some time, I found that it has many practical features to facilitate daily analysis. Here is a record and整理.