bio-proteomics-quantification
Installation
SKILL.md
Version Compatibility
Reference examples tested with: MSnbase 2.28+, numpy 1.26+, pandas 2.2+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures - R:
packageVersion('<pkg>')then?function_nameto verify parameters
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Protein Quantification
"Quantify proteins from my mass spec data" → Extract protein abundances from MS data using label-free (LFQ, spectral counting), isobaric labeling (TMT, iTRAQ), or metabolic labeling (SILAC) approaches.
- R:
MSstats::dataProcess()for feature-to-protein summarization - Python:
pandasfor MaxLFQ-style normalization and ratio calculation - R:
MSnbasefor isobaric tag reporter ion extraction