IP4M: an integrated platform for mass spectrometry-based metabolomics data mining.

ABSTRACT:

Background

Metabolomics data analyses rely on the use of bioinformatics tools. Many integrated multi-functional tools have been developed for untargeted metabolomics data processing and have been widely used. More alternative platforms are expected for both basic and advanced users.

Results

Integrated mass spectrometry-based untargeted metabolomics data mining (IP4M) software was designed and developed. The IP4M, has 62 functions categorized into 8 modules, covering all the steps of metabolomics data mining, including raw data preprocessing (alignment, peak de-convolution, peak picking, and isotope filtering), peak annotation, peak table preprocessing, basic statistical description, classification and biomarker detection, correlation analysis, cluster and sub-cluster analysi

SUBMITTER: Liang D 

PROVIDER: S-EPMC7542974 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature