iMAP: A Web Server for Metabolomics Data Integrative Analysis
Metabolomics data analysis depends on the utilization of bioinformatics tools. To meet the evolving needs of metabolomics research, several integrated platforms have been developed. Our group has developed a desktop platform IP4M (integrated Platform for Metabolomics Data Analysis) which allows user...
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doaj-14f326a39d3a47beab240b2e0d3388d52021-05-05T06:21:35ZengFrontiers Media S.A.Frontiers in Chemistry2296-26462021-05-01910.3389/fchem.2021.659656659656iMAP: A Web Server for Metabolomics Data Integrative AnalysisDi Zhou0Wenjia Zhu1Tao Sun2Yang Wang3Yi Chi4Tianlu Chen5Jingchao Lin6Metabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, ChinaMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, ChinaCenter for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, ChinaMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, ChinaMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, ChinaCenter for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, ChinaMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, ChinaMetabolomics data analysis depends on the utilization of bioinformatics tools. To meet the evolving needs of metabolomics research, several integrated platforms have been developed. Our group has developed a desktop platform IP4M (integrated Platform for Metabolomics Data Analysis) which allows users to perform a nearly complete metabolomics data analysis in one-stop. With the extensive usage of IP4M, more and more demands were raised from users worldwide for a web version and a more customized workflow. Thus, iMAP (integrated Metabolomics Analysis Platform) was developed with extended functions, improved performances, and redesigned structures. Compared with existing platforms, iMAP has more methods and usage modes. A new module was developed with an automatic pipeline for train-test set separation, feature selection, and predictive model construction and validation. A new module was incorporated with sufficient editable parameters for network construction, visualization, and analysis. Moreover, plenty of plotting tools have been upgraded for highly customized publication-ready figures. Overall, iMAP is a good alternative tool with complementary functions to existing metabolomics data analysis platforms. iMAP is freely available for academic usage at https://imap.metaboprofile.cloud/ (License MPL 2.0).https://www.frontiersin.org/articles/10.3389/fchem.2021.659656/fullmetabolomicsstatistical analysisworkflowcorrelation-based networkvisualization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Di Zhou Wenjia Zhu Tao Sun Yang Wang Yi Chi Tianlu Chen Jingchao Lin |
spellingShingle |
Di Zhou Wenjia Zhu Tao Sun Yang Wang Yi Chi Tianlu Chen Jingchao Lin iMAP: A Web Server for Metabolomics Data Integrative Analysis Frontiers in Chemistry metabolomics statistical analysis workflow correlation-based network visualization |
author_facet |
Di Zhou Wenjia Zhu Tao Sun Yang Wang Yi Chi Tianlu Chen Jingchao Lin |
author_sort |
Di Zhou |
title |
iMAP: A Web Server for Metabolomics Data Integrative Analysis |
title_short |
iMAP: A Web Server for Metabolomics Data Integrative Analysis |
title_full |
iMAP: A Web Server for Metabolomics Data Integrative Analysis |
title_fullStr |
iMAP: A Web Server for Metabolomics Data Integrative Analysis |
title_full_unstemmed |
iMAP: A Web Server for Metabolomics Data Integrative Analysis |
title_sort |
imap: a web server for metabolomics data integrative analysis |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Chemistry |
issn |
2296-2646 |
publishDate |
2021-05-01 |
description |
Metabolomics data analysis depends on the utilization of bioinformatics tools. To meet the evolving needs of metabolomics research, several integrated platforms have been developed. Our group has developed a desktop platform IP4M (integrated Platform for Metabolomics Data Analysis) which allows users to perform a nearly complete metabolomics data analysis in one-stop. With the extensive usage of IP4M, more and more demands were raised from users worldwide for a web version and a more customized workflow. Thus, iMAP (integrated Metabolomics Analysis Platform) was developed with extended functions, improved performances, and redesigned structures. Compared with existing platforms, iMAP has more methods and usage modes. A new module was developed with an automatic pipeline for train-test set separation, feature selection, and predictive model construction and validation. A new module was incorporated with sufficient editable parameters for network construction, visualization, and analysis. Moreover, plenty of plotting tools have been upgraded for highly customized publication-ready figures. Overall, iMAP is a good alternative tool with complementary functions to existing metabolomics data analysis platforms. iMAP is freely available for academic usage at https://imap.metaboprofile.cloud/ (License MPL 2.0). |
topic |
metabolomics statistical analysis workflow correlation-based network visualization |
url |
https://www.frontiersin.org/articles/10.3389/fchem.2021.659656/full |
work_keys_str_mv |
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