MultiQC is a tool for NGS data quality control. Unlike many other tools, it does not directly obtain and calculate metrics; instead, it reads results files from various common quality control tools and provides comprehensive reporting.

Recently, my work requires me to understand some common machine learning methods. I’ll just write a post about it…

My blog is generated using Hexo, a static blog framework based on Node.js. It helps people like me who know nothing about frontend development to quickly set up a decent-looking blog, while I only need to know how to write posts in Markdown. Similarly, during development there’s always a need to write technical documentation, hence tools like Gitbook and mkdocs exist.

While chaining various programs using Bash, you often discover some amazing and useful tricks. Here are two I recently found.

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.