nlsphdb

In silico generated database for neutral losses of sphingoid bases in ESI-.

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

M Isabel Alcoriza-Balaguer

Celia Regal-Marques

nlsphdb function

Data frame with 4 observations and the following 3 variables.<dl>
 <dt><code>formula</code></dt>
<dd>character vector containing molecular formulas.</dd> <dt><code>total</code></dt>
<dd>character vector indicating the total number of carbons
 and double bounds of the chains.</dd> <dt><code>Mass</code></dt>
<dd>numeric vector with the neutral masses.</dd> 
</dl>

Format

Neutral losses db for sphingoid bases. It is employed by idCerneg function. — nlsphdb

Data frame with 4 observations and the following 3 variables.<dl>
 <dt><code>formula</code></dt>
<dd>character vector containing molecular formulas.</dd>

 <dt><code>total</code></dt>
<dd>character vector indicating the total number of carbons
 and double bounds of the chains.</dd>

 <dt><code>Mass</code></dt>
<dd>numeric vector with the neutral masses.</dd>

 
</dl>

nlsphdb: Neutral losses db for sphingoid bases. It is employed by idCerneg function.

Description

Usage

Arguments

Format