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.
Writing workflows is a common task in bioinformatics analysis, and a mature and well-designed tool can greatly improve the efficiency of work.
Because of my work, I had to learn some basic concepts and methods for single-cell research. I wrote this note to record it.
When using SGE at a new company, the approach is somewhat different. Here are some notes.
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