sparseQuant 20130910
:: DESCRIPTION
sparseQuant implements a novel statistical approach for design and analysis of label-sparse selected reaction monitoring (SRM)-based targeted proteomic experiments. Label-sparse experiments strike a middle ground between the label-free and fully label-based approaches, by utilizing a reduced set of labeled reference transitions and accurately quantifying an expanded list of proteins.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux/ MacOsX/ Windows
- R package
:: DOWNLOAD
:: MORE INFORMATION
Citation
Ching-Yun Chang, Eduard Sabidó, Ruedi Aebersold, Olga Vitek.
“Targeted protein quantification using sparse reference labeling”
Nat Methods. 2014 Mar;11(3):301-4. doi: 10.1038/nmeth.2806