Unknown

Dataset Information

0

MassPix: an R package for annotation and interpretation of mass spectrometry imaging data for lipidomics.


ABSTRACT: INTRODUCTION:Mass spectrometry imaging (MSI) experiments result in complex multi-dimensional datasets, which require specialist data analysis tools. OBJECTIVES:We have developed massPix-an R package for analysing and interpreting data from MSI of lipids in tissue. METHODS:massPix produces single ion images, performs multivariate statistics and provides putative lipid annotations based on accurate mass matching against generated lipid libraries. RESULTS:Classification of tissue regions with high spectral similarly can be carried out by principal components analysis (PCA) or k-means clustering. CONCLUSION:massPix is an open-source tool for the analysis and statistical interpretation of MSI data, and is particularly useful for lipidomics applications.

SUBMITTER: Bond NJ 

PROVIDER: S-EPMC5608769 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications

<i>massPix</i>: an R package for annotation and interpretation of mass spectrometry imaging data for lipidomics.

Bond Nicholas J NJ   Koulman Albert A   Griffin Julian L JL   Hall Zoe Z  

Metabolomics : Official journal of the Metabolomic Society 20170921 11


<h4>Introduction</h4>Mass spectrometry imaging (MSI) experiments result in complex multi-dimensional datasets, which require specialist data analysis tools.<h4>Objectives</h4>We have developed <i>massPix-</i>an R package for analysing and interpreting data from MSI of lipids in tissue.<h4>Methods</h4><i>massPix</i> produces single ion images, performs multivariate statistics and provides putative lipid annotations based on accurate mass matching against generated lipid libraries.<h4>Results</h4>  ...[more]

Similar Datasets

2017-08-31 | MTBLS487 | MetaboLights
| S-EPMC6298046 | biostudies-literature
| S-EPMC6480965 | biostudies-literature
| S-EPMC3105479 | biostudies-literature
| S-EPMC5096969 | biostudies-literature
| S-EPMC6986310 | biostudies-literature
| S-EPMC8163805 | biostudies-literature
| S-EPMC10076023 | biostudies-literature
| S-EPMC1249570 | biostudies-literature
| S-EPMC9633456 | biostudies-literature