Detalhe da pesquisa
1.
APEX: an Annotation Propagation Workflow through Multiple Experimental Networks to Improve the Annotation of New Metabolite Classes in Caenorhabditis elegans.
Anal Chem
; 95(48): 17550-17558, 2023 12 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37984857
2.
MobilityTransformR: an R package for effective mobility transformation of CE-MS data.
Bioinformatics
; 38(16): 4044-4045, 2022 08 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35781328
3.
Capillary electrophoresis-mass spectrometry as a tool for Caenorhabditis elegans metabolomics research.
Metabolomics
; 19(7): 61, 2023 Jun 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-37351740
4.
Capillary Zone Electrophoresis-Top-Down Tandem Mass Spectrometry for In-Depth Characterization of Hemoglobin Proteoforms in Clinical and Veterinary Samples.
Anal Chem
; 92(15): 10531-10539, 2020 08 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-32628011
5.
Efficient Extraction of Pyrrolizidine Alkaloids from Plants by Pressurised Liquid Extraction - A Preliminary Study.
Planta Med
; 86(1): 85-90, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31634933
6.
Nickel-organo compounds as potential enzyme precursors under simulated early Earth conditions.
Commun Chem
; 7(1): 33, 2024 Feb 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38361005
7.
Successive Multiple Ionic-Polymer Layer Coatings for Intact Protein Analysis by Capillary Zone Electrophoresis-Mass Spectrometry: Application to Hemoglobin Analysis.
Methods Mol Biol
; 2531: 69-76, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35941479
8.
A Modular and Expandable Ecosystem for Metabolomics Data Annotation in R.
Metabolites
; 12(2)2022 Feb 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35208247
9.
Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation.
Front Mol Biosci
; 9: 841373, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35350714
10.
Quo Vadis Caenorhabditis elegans Metabolomics-A Review of Current Methods and Applications to Explore Metabolism in the Nematode.
Metabolites
; 11(5)2021 Apr 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-33947148