adductsTable

Table of possible adducts to be employed by LipidMS and related information.

datasets

Lipid annotation in untargeted LC-MS lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.

M Alcoriza-Balaguer

LipidMS

Lipid Annotation for LC-MS/MS DDA or DIA Data

adductsTable function

Data frame with 18 observations and the following 4 variables.<dl>
 <dt><code>adduct</code></dt>
<dd>character vector with the adducts names.</dd> <dt><code>mdiff</code></dt>
<dd>numeric vector indicating the mass differences.</dd> <dt><code>charge</code></dt>
<dd>numeric vector indicating the charge.</dd> <dt><code>n</code></dt>
<dd>numeric vector. It indicates if the ion is a monomer (1),
 a dimer (2), etc.</dd> 
</dl>

Format

Adducts table — adductsTable

Data frame with 18 observations and the following 4 variables.<dl>
 <dt><code>adduct</code></dt>
<dd>character vector with the adducts names.</dd>

 <dt><code>mdiff</code></dt>
<dd>numeric vector indicating the mass differences.</dd>

 <dt><code>charge</code></dt>
<dd>numeric vector indicating the charge.</dd>

 <dt><code>n</code></dt>
<dd>numeric vector. It indicates if the ion is a monomer (1),
 a dimer (2), etc.</dd>

 
</dl>

adductsTable: Adducts table

Description

Usage

Arguments

Format