u/Slow-Put6296

I just asked a question about something on Reddit as I wanted to genuinely learn and to know what people think. I was pretty new to this space and as it was my first post, I made sure that my post was like perfect and polished. Like I literally read through it hundred times before I posted because I was so nervous. Even though I had this account for two years, I barely used it. But unfortunately I got so much backlash and got overwhelmed that I deleted it from that particular community (I dont know if it was the right thing to do). The question still exists on another community as people were genuinely answering and i did learn new things. Was it only me who deleted the post just because it had too many negative feedback, and downvotes for the reply that I was giving to the negative feedback. I got negative karma which is at -3, before even i fully understood what karma is.

PS. Edited - i got downvoted even in this post.😭😭

Hi everyone, I’m trying to understand real pain points in GC-MS/LC-MS data analysis workflows.

For people who regularly process GC-MS or LC-MS data:

What part of compound identification is still most manual or annoying for you?

For example:

• choosing the right peak
• background subtraction
• extracting a clean spectrum
• NIST/library matching
• checking false positives
• integrating peak area
• batch processing many samples
• making final compound tables/reports
• explaining why a compound ID is reliable

I’m especially interested in workflows where you look for specific compound groups, such as hydrocarbons, polymers/plastic markers, biomarkers, contaminants, metabolites, etc.

What software do you use, and what still feels slow, confusing, or error-prone? I'm doing a case study, so would be really grateful, if you guys reply :)