Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics.

By T. Cajka, Oliver Fiehn. Analytical Chemistry, 2016

723 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/dba20d0c217667dad6ddf4341b559b0f9d1af9e5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Guangyan Zhou
2. Zhiqiang Pang
3. Jessica Ewald
4. Le Chang
5. Niladri Basu
6. O. Haçarız
7. David S. Wishart
8. Alexandra C. Schrimpe-Rutledge

In Spectroscopy

1. Guangyan Zhou
2. Zhiqiang Pang
3. Le Chang
4. Niladri Basu
5. O. Haçarız
6. Jessica Ewald
7. Jianguo Xia
8. David S. Wishart

Citations in the corpus

• Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data (2022, methodology): “● Click the ‘Submit’ button to perform integration analysis c CRITICAL STEP MetaboAnalyst provides four options for integration: (1) combine queries, (2) combine P values (unweighted), (3) combine P values (overall) and (4) combine P values (pathway level).”
• Untargeted metabolomics strategies – Challenges and Emerging Directions (2016, background): “Many opportunities exist for the development of methods to calculate these unknowns, as well as a confidence metric for scoring MS/MS matches [11].”