Summary of project PR000777
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 PR000777. The data can be accessed directly via it's Project DOI: 10.21228/M87T23 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR000777 |
| Project DOI: | doi: 10.21228/M87T23 |
| Project Title: | Evaluation of computational tools using serial mixtures of human plasma and vegetable juice |
| Project Summary: | Mass spectrometry-based metabolomics is developed rapidly in the past few decades. There are few major vendors for LC-MS platform instruments, for example, Thermo ScientificTM LTQ Orbitrap Velos and Agilent 6510 Q-TOF mass spectrometer were used for metabolomics research. The data acquired cross different platform are rarely compared other than the comparison of the instrument itself on resolution, mass accuracy, sensitivity, dynamic range, scan speed etc., which is largely due to the foundation and principle of the instrument design. Other than this, there are many choice for data preprocessing, i.e., the data acquired from the same platform may have been processed with different feature extraction software tools. The discrepancy for the feature detections with different software will lead to the variation of the down-stream statistics analysis and metabolomics pathway interpretation. In addition, the impact of the LC-MS platform and data preprocessing software tools on the quantitative capabilities is also an interesting topic. In this research, XCMS, mzMine 2.37 and apLCMS are three tools used for the feature extraction of data acquired with Thermo ScientificTM LTQ Orbitrap Velos and Agilent 6510 Q-TOF LC-MS platform by serial dilution experiment. The quantification capability is estimated at the same time based on the linearity, accuracy, and precision |
| Institute: | Emory University |
| Department: | School of Medicine |
| Laboratory: | Clinical Biomarker Laboratory |
| Last Name: | Wang |
| First Name: | Yating |
| Address: | 615 Michael St. Ste 225, Atlanta, GA, 30322, USA |
| Email: | yating.wang@emory.edu |
| Phone: | 4047275091 |
Summary of all studies in project PR000777
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST001161 | Evaluation of computational tools using serial mixtures of human plasma and vegetable juice (part-I) | Homo sapiens | Emory University | MS* | 2019-05-15 | 1 | 13 | Uploaded data (2.1G)* |
| ST001162 | Evaluation of computational tools using serial mixtures of human plasma and vegetable juice (part - II) | Homo sapiens | Emory University | MS* | 2019-05-15 | 1 | 13 | Uploaded data (1.2G)* |
