I’ve been wanting to do some bioinformatic analyses for my project, since I think it would make sense. I’m not a bioinformatician at all but I do know how to code a decent bit (although python mostly) and I have read a lot about specific methods, libraries etc. Basically, we have a single-cell sequencing dataset in-house, which is already prepared and quality-controlled and I’ve started using openAI codex to write some analyses for me. I try to give very specific prompts and check all the code it writes. But of course, it could easily make mistakes that I don’t catch. So my question is, do you know any specific areas of bioinformatics where AIs tend to make lots of mistakes? submitted by /u/Lukeception [link] [comments]