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MSIdV: a versatile tool to visualize biological indices from mass spectrometry imaging data

Author:
Hayakawa, Eisuke, Fujimura, Yoshinori, Miura, Daisuke
Source:
Bioinformatics 2016 v.32 no.24 pp. 3852-3854
ISSN:
1460-2059
Subject:
bioinformatics, energy, image analysis, mass spectrometry
Abstract:
Summary: Mass spectrometry imaging (MSI) visualizes the simultaneous lateral distribution of multiple compounds on sample surface. However, it is still difficult to visualize biological indices such as energy charge index from multiple compounds because of the lack of publicly available tools. Here we present MSIdV, a visualization tool for biological indices calculated from mass spectrometry imaging data, which can effectively scan a series of mass spectra and process, calculate and visualize user-defined index measures accurately with a number of signal processing features. Availability and Implementation: MSIdV is implemented in Python 2.7 and is freely available on the web at https://sourceforge.net/projects/msidv/. Contact: eisuke.hayakawa@gmail.com Supplementary information:Supplementary data are available at Bioinformatics online.
Agid:
6247629