QComics: Recommendations and Guidelines for Robust, Easily Implementable and Reportable Quality Control of Metabolomics Data.
Anal Chem
; 96(3): 1064-1072, 2024 01 23.
Article
in En
| MEDLINE
| ID: mdl-38179935
ABSTRACT
The implementation of quality control strategies is crucial to ensure the reproducibility, accuracy, and meaningfulness of metabolomics data. However, this pivotal step is often overlooked within the metabolomics workflow and frequently relies on the use of nonstandardized and poorly reported protocols. To address current limitations in this respect, we have developed QComics, a robust, easily implementable and reportable method for monitoring and controlling data quality. The protocol operates in various sequential steps aimed to (i) correct for background noise and carryover, (ii) detect signal drifts and "out-of-control" observations, (iii) deal with missing data, (iv) remove outliers, (v) monitor quality markers to identify samples affected by improper collection, preprocessing, or storage, and (vi) assess overall data quality in terms of precision and accuracy. Notably, this tool considers important issues often neglected along quality control, such as the need of separately handling missing values and truly absent data to avoid losing relevant biological information, as well as the large impact that preanalytical factors may elicit on metabolomics results. Altogether, the guidelines compiled in QComics might contribute to establishing gold standard recommendations and best practices for quality control within the metabolomics community.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Metabolomics
/
Data Accuracy
Type of study:
Guideline
/
Prognostic_studies
Language:
En
Journal:
Anal Chem
/
Anal. chem
/
Analytical chemistry
Year:
2024
Type:
Article
Affiliation country:
Spain