Protein identification: A deeper dive into analysis of MS-based proteomics data

An introduction to computational analysis of mass spectrometry-based proteomics data. In this presentation, I give a recap of the experimental data before diving into how search databases are created, how spectra are searched against these, how false discovery rates (FDRs) are estimated, and finally the challenges of inferring proteins. If you are not already familiar with MS-based proteomics, I strongly recommend that you watch my short introduction to the core concepts first: • MS-based proteomics: A...
0:00 Introduction: computational proteomics and overview of the presentation.
0:36 Experimental recap:
1:05 Search database: sequences, in silico digestion, PTM expansion, and fragment ion prediction
2:20 Spectrum matching: peptide-spectrum matches (PSMs), precursor mass filter, and scoring schemes
3:23 Target-decoy search: decoy spectra, score distributions, and FDR estimation
4:44 Protein inference: equivalent proteins, subset proteins, and protein groups
Thank you to David Tabb for his original slide deck that I took inspiration from ( / davidtabb .

[@zackhades641]

Really really appreciate you walking through the steps (at a perfect pace)! Subscribed!

[@larsjuhljensen]

Thanks for the sub!

[@science_mbg]

Thanks for the short and detailed video. I have one question: Are you using Nvidia eye contact ON (eye stabilization)? Otherwise, it feels a bit different.

[@larsjuhljensen]

No, I did try it a while back. I found it to give some strange artifacts that I really didn't like. Are you suggesting that it's worth trying out again?