MaConDa

mass spectrometry contaminants database for PMD check

datasets

Paired mass distance (PMD) analysis proposed in Yu, Olkowicz and Pawliszyn (2018) <doi:10.1016/j.aca.2018.10.062> and PMD based reactomics analysis proposed in Yu and Petrick (2020) <doi:10.1038/s42004-020-00403-z> for gas/liquid chromatography–mass spectrometry (GC/LC-MS) based non-targeted analysis. PMD analysis including GlobalStd algorithm and structure/reaction directed analysis. GlobalStd algorithm could found independent peaks in m/z-retention time profiles based on retention time hierarchical cluster analysis and frequency analysis of paired mass distances within retention time groups. Structure directed analysis could be used to find potential relationship among those independent peaks in different retention time groups based on frequency of paired mass distances. Reactomics analysis could also be performed to build PMD network, assign sources and make biomarker reaction discovery. GUIs for PMD analysis is also included as 'shiny' applications.

Miao YU

Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted
Analysis and Reactomics Analysis

MaConDa function

A data frame from tools:::Rd_expr_doi("doi:10.1093/bioinformatics/bts527") with 308 rows and 5 variables:<dl>
 <dt>id</dt>
<dd>MaConDa ID</dd> <dt>name</dt>
<dd>contaminants</dd> <dt>formula</dt>
<dd>contaminants fomula</dd> <dt>exact_mass</dt>
<dd>exact mass of contaminants</dd> <dt>type_of_contaminant</dt>
<dd>type of contaminant</dd> 
</dl>

Format

mass spectrometry contaminants database for PMD check — MaConDa

A data frame from tools:::Rd_expr_doi("doi:10.1093/bioinformatics/bts527") with 308 rows and 5 variables:<dl>
 <dt>id</dt>
<dd>MaConDa ID</dd>

 <dt>name</dt>
<dd>contaminants</dd>

 <dt>formula</dt>
<dd>contaminants fomula</dd>

 <dt>exact_mass</dt>
<dd>exact mass of contaminants</dd>

 <dt>type_of_contaminant</dt>
<dd>type of contaminant</dd>

 
</dl>

MaConDa: mass spectrometry contaminants database for PMD check

Description

Usage

Arguments

Format