MSIdV: a versatile tool to visualize biological indices from mass spectrometry imaging data
Author(s) -
Eisuke Hayakawa,
Yoshinori Fujimura,
Daisuke Miura
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw548
Subject(s) - python (programming language) , visualization , mass spectrometry imaging , computer science , mass spectrometry , data mining , data visualization , chemistry , programming language , chromatography
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.
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