leptoSRM


  This dataset holds peptide SRM measurements matching to 39 proteins. The data is summarized in three data frames.

datasets

Method for protein quantification based on identified and
quantified peptides. protiq can be used for absolute and relative protein
quantification. Input peptide abundance scores can come from various
sources, including SRM transition areas and intensities or spectral counts
derived from shotgun experiments. The package is still being extended to
also include the model for protein identification, MIPGEM, presented in
Gerster, S., Qeli, E., Ahrens, C.H. and Buehlmann, P. (2010). Protein and
gene model inference based on statistical modeling in k-partite graphs.
Proceedings of the National Academy of Sciences 107(27):12101-12106.

ORPHANED

protiq

Protein (identification and) quantification based on peptide
evidence

leptoSRM function

Three data frames (<code>leptoSRMpeptides</code>, <code>leptoSRMproteins</code> and <code>leptoSRMedgespp</code>) containing the required input data for SCAMPI.
  <dl>
  <dt>leptoSRMpeptides:</dt><dd>data frame with 151 distinct peptides (=151 rows)</dd> <dt>leptoSRMproteins:</dt><dd>data frame with 39 distinct protein sequences (=39 rows)</dd> <dt>leptoSRMedgespp:</dt><dd>data frame with 151 edges (=151 rows) between peptides and proteins</dd> </dl> 

leptoSRM: SRM quantification example data

Description

Usage

Arguments

Format

Source

References