non.enriched: Non-enriched dataset

In phosphonormalizer: Compensates for the bias introduced by median normalization in phosphoproteomics. This is done by taking enriched and non-enriched data and creating a normalization factor.

Description

A dataset containing sequences, modifications and abundances of about 17000 peptides measured over 5 samples with 3 technical replicates each.

Usage

non.enriched.rd

Format

A data frame with 16982 rows and 17 variables, all samples are median normalized:

Sequence

The sequence of the peptide

Modification

The modification and its location

gcNorm.ctrl2.1

Sample: Control 2 Technical Replicate: 1

gcNorm.ctrl2.2

Sample: Control 2 Technical Replicate: 2

gcNorm.ctrl2.3

Sample: Control 2 Technical Replicate: 3

gcNorm.ctrl1.1

Sample: Control 1 Technical Replicate: 1

gcNorm.ctrl1.2

Sample: Control 1 Technical Replicate: 2

gcNorm.ctrl1.3

Sample: Control 1 Technical Replicate: 3

gcNorm.CIP2A.1

Sample: CIP2A Technical Replicate: 1

gcNorm.CIP2A.2

Sample: CIP2A Technical Replicate: 2

gcNorm.CIP2A.3

Sample: CIP2A Technical Replicate: 3

gcNorm.RAS.1

Sample: RAS Technical Replicate: 1

gcNorm.RAS.2

Sample: RAS Technical Replicate: 2

gcNorm.RAS.3

Sample: RAS Technical Replicate: 3

gcNorm.OA.1

Sample: OA Technical Replicate: 1

gcNorm.OA.2

Sample: OA Technical Replicate: 2

gcNorm.OA.3

Sample: OA Technical Replicate: 3

...

Value

Example Non-enriched dataset

Source

http://www.nature.com/articles/srep13099

phosphonormalizer documentation built on Dec. 10, 2020, 2:01 a.m.