Summary of Study ST001874
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001182. The data can be accessed directly via it's Project DOI: 10.21228/M8XD6P This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST001874 |
| Study Title | Metabolomics analysis of multiple samples on Agilent 6546-Part 1 |
| Study Type | Metabolomics |
| Study Summary | Metabolomics analysis of multiple samples from human, trying to annotate the metabolites in them. Agilent 6546 LC-QTOF was used for metabolomics detection. |
| Institute | Dalian Institute Of Chemical Physics |
| Laboratory | Laboratory of High Resolution Separation/Analysis and Metabonomics |
| Last Name | Zheng |
| First Name | Fujian |
| Address | No. 457 Zhongshan Road, Shahekou District, Dalian, Liaoning Province, China |
| zhengfj@dicp.ac.cn | |
| Phone | 18698730176 |
| Submit Date | 2021-06-18 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-07-24 |
| Release Version | 1 |
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Project:
| Project ID: | PR001182 |
| Project DOI: | doi: 10.21228/M8XD6P |
| Project Title: | Metabolomics analysis of multiple samples |
| Project Summary: | Liquid chromatography–high resolution mass spectrometry (LC-HRMS) is the most popular platform for untargeted metabolomics methods, but annotating LC-HRMS data is a long-standing bottleneck that we are facing since years ago in metabolomics research. A wide variety of methods have been established to deal with the annotation issue. To date, however, there is a scarcity of efficient, systematic, and easy-to-handle tools that are tailored for metabolomics and exposome community. Herein, we developed a user-friendly and powerful stand-alone software, MetEx, to enable implementation of classical peak detection-based annotation and a brand-new annotation method based on targeted extraction algorithms. Especially the newly proposed annotation method of targeted extraction can identify more than 2 times more metabolites than traditional peak detection-based annotation methods because it reduces the loss of metabolite signal in the data preprocessing process. |
| Institute: | Dalian Institute of Chemical Physics |
| Laboratory: | Laboratory of High Resolution Separation/Analysis and Metabonomics |
| Last Name: | Zheng |
| First Name: | Fujian |
| Address: | 457 Zhongshan Road Dalian, China 116023, Dalian, Liaoning, 116021, China |
| Email: | zhengfj@dicp.ac.cn |
| Phone: | 18698730176 |
